Adaptive impedance matching apparatus, system and method with improved dynamic range

Information

  • Patent Grant
  • 9419581
  • Patent Number
    9,419,581
  • Date Filed
    Friday, January 31, 2014
    10 years ago
  • Date Issued
    Tuesday, August 16, 2016
    8 years ago
Abstract
An embodiment of the present invention provides an apparatus, comprising' an RF matching network connected to at least one RF input port and at least one RF output port and 5 including one or more voltage or current controlled variable reactive elements; a voltage detector connected to the at least one RF output port via a variable voltage divider to determine the voltage at the at least one RF output port and provide voltage information to a controller that controls a bias driving circuit which provides voltage or current bias to the RF matching network; a variable voltage divider connected to the voltage detector and implemented using a 10 multi-pole RF switch to select one of a plurality of different resistance ratios to improve the dynamic range of the apparatus; and wherein the RF matching network is adapted to maximize RF power transferred from the at least one RF input port to the at least one RF output port by varying the voltage or current to the voltage or current controlled variable reactive elements to maximize the RF voltage at the at least one RF output port.
Description
BACKGROUND

The function of an adaptive impedance matching module is to adaptively maximize the RF• power transfer from its input port to an arbitrary load impedance ZL that changes as a function of time.


One of the important engineering specifications of an impedance matching control system is the dynamic range of input power over which it will operate. The lowest cost RF voltage detector is a simple diode detector, but it has a limited dynamic range of about 25 dB. Logarithmic amplifiers (that detect the signal envelope) have a much higher dynamic range of 50 dB to 60 dB, but their cost, complexity, chip area, and current drain is also much higher. Thus, a strong need exists for an improved adaptive impedance matching apparatus, system and method.


SUMMARY OF THE INVENTION

An embodiment of the present invention provides an apparatus, comprising an RF matching network connected to at least one RF input port and at least one RF output port and including one or more voltage or current controlled variable reactive elements, a voltage detector connected to the at least one RF output port via a variable voltage divider to determine the voltage at the at least one {tilde over ( )} output port and provide voltage information to a controller that controls a bias driving circuit which provides bias voltage or bias current to the RF matching network, and wherein the RF matching network is adapted to maximize RF power transferred from the at least one RF input port to the at least one RF output port by varying the voltage or current to the voltage or current controlled variable′ reactive elements to maximize the RF voltage at the at least one RF output port.


In an embodiment of the present invention, the voltage detector may be a diode detector and wherein the variable voltage divider connected to the voltage detector may be adapted to improve the dynamic range of the apparatus. Further, a loop controller may be associated with the variable voltage divider to make the variable voltage divider programmable and the variable voltage divider may be implemented using a multi-pole RF switch to select one of a plurality of different resistances. In an embodiment of the present invention, the variable voltage divider may be operable to allow a detector coupled to the output port to be more isolated at higher power levels and improve linearity of the module for high signal levels. Further, the RF output node may be connected to a shunt RF branch comprising a series string of capacitors and by selectively tapping into various circuit nodes along the string, a variable output voltage divider is obtained. In an embodiment of the present invention and not limited in this respect, tapping into various circuit nodes may be accomplished using a digitally controlled RF switch and the RF switch may be selected from the group consisting of: FETs, MEMS or PIN diodes.


In yet another embodiment of the present invention is provided a method of adaptive impedance matching, comprising connecting an RF matching network to at least one RF input port and at least one RF output port and including one or more voltage or current controlled variable reactive elements, using a voltage detector connected to the at least one RF output port via a variable voltage divider to determine the voltage at the at least one RF output port and providing the voltage information to a controller that controls a bias driving circuit which provides bias voltage or bias current to the RF matching network, and adapting the RF matching network to maximize RF power transferred from the at least one RF input port to the at least one RF output port by varying the voltage or current to the voltage or current controlled variable reactive elements to maximize the RF voltage at the at least one RF output port.


In still another embodiment of the present invention is provided a machine-accessible medium that provides instructions, which when accessed, cause a machine to perform operations comprising connecting an RF matching network to at least one RF input port and at least one RF output port and including one or more voltage or current controlled variable reactive elements, using a voltage detector connected to the at least one RF output port via a variable voltage. divider to determine the voltage at the at least one RF output port and providing the voltage information to a controller that controls a bias driving circuit which provides voltage or current bias to the RF matching network, and adapting the RF matching network to maximize RF power transferred from the at least one RF input port to the at least one RF output port by varying the voltage or current to the voltage or current controlled variable reactive elements to maximize the RF voltage at the at least one RF output port.





BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is described with reference to the accompanying drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Additionally, the left-most digit(s) of a reference number identifies the drawing in which the reference number first appears.



FIG. 1 illustrates a block diagram of an adaptive impedance matching module AIMM control system of one embodiment of the present invention;



FIG. 2 illustrates a control system for a multi-port adaptive impedance matching module of one embodiment of the present invention;



FIG. 3 shows an implementation of an AIMM closed loop control system of one embodiment of the present invention;



FIG. 4 is a block diagram of an adaptive impedance matching module (AIMM) with a variable voltage divider for improved dynamic range of one embodiment of the present invention;



FIG. 5 illustrates an embodiment of an enhanced dynamic range AIMM control system; and



FIG. 6 shows a second embodiment of an enhanced dynamic range AIMM control system.





DETAILED DESCRIPTION

In the following detailed description, numerous specific details are set .forth in order to provide a thorough understanding of the invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present invention.


Some portions of the detailed description that follows are presented in terms of algorithms and symbolic representations of operations on data bits or binary digital signals within a computer memory. These algorithmic descriptions and representations may be the techniques used by those skilled in the data processing arts to convey the substance of their work to others skilled in the art.


An algorithm is here, and generally, considered to be a self-consistent sequence of acts or operations leading to a desired result. These include physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers or the like. It should be understood, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities.


Unless specifically stated otherwise, as apparent from the following discussions, it is appreciated that throughout the specification discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining,” or the like, refer to the action and/or processes of a computer or computing system, or similar electronic computing device, that manipulate and/or transform data represented as physical, such as electronic, quantities within the computing system's registers and/or memories into other data similarly represented as physical quantities within the computing system's memories, registers or other such information storage, transmission or display devices.


Embodiments of the present invention may include apparatuses for performing the operations herein. An apparatus may be specially constructed for the desired purposes, or it may comprise a general purpose computing device selectively activated or reconfigured by a program stored in the device. Such a program may be stored on a storage medium, such as, but not limited to, any type of disk including floppy disks, optical disks, compact disc read only memories (CD-ROMs), magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), electrically programmable read-only memories (EPROMs), electrically erasable and programmable read only memories (EEPROMs), magnetic or optical cards, or any other type of media suitable for storing electronic instructions, and capable of being coupled to a system bus for a computing device.


The processes and displays presented herein are not inherently related to any particular computing device or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct a more specialized apparatus to perform the desired method. The desired structure for a variety of these systems will appear from the description below. In addition, embodiments of the present invention are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the invention as described herein. In addition, it should be understood that operations, capabilities, and features described herein may be implemented with any combination of hardware (discrete or integrated circuits) and software.


Use of the terms “coupled” and ‘˜connected”, along with their derivatives, may be used. It should be understood that these terms are not intended as synonyms for each other. Rather, in particular embodiments, “connected” may be used to indicate that two or more elements are in direct physical or electrical contact with each other. “Coupled” my be used to indicated that two or more elements are in either direct or indirect (with other intervening elements between them) physical or electrical contact with each other, and/or that the two or more elements co-operate or interact with each other (e.g. as in a cause an effect relationship).


An embodiment of the, present invention provides closed-loop control of an adaptive impedance matching module (AIMM). The RF output node voltage of the AIMM tuner circuit may be monitored ˜d maximized to insure the best available impedance match to arbitrary load impedance. In addition, improvement in dynamic range may be achieved by adaptively changing the RF coupling level between the voltage sensed at the output port (antenna side) of the matching network and the voltage provided to the detector. This coupling level may be controlled by a processor which also does the closed loop tuning. A simple voltage divider 20 comprised of resistors and a digitally controlled RF switch may be used to realize variable coupling levels, although the present invention is not limited in this respect.' Another means of realizing variable coupling levels is to digitally switch between different tap points in a series string of variables capacitors which form a shunt voltage tunable dielectric capacitor at the output node of the AIMM tuner.


The function of an adaptive impedance matching module (AIMM) is to adaptively maximize the RF power transfer from its input port to an arbitrary load impedance ZL where the load changes as a function of time. Turning now to the figures, FIG. 1, shown generally as 100, is an AIMM block diagram.


The RF matching network 110 may contain inductors and capacitors required to transform the arbitrary load impedance ZL 135 to an impedance equal to or close to a defined system impedance, such as 50 ohms. The net benefit of this transformation is an improvement in the level of power transferred to the load ZL 135, and a reduction in the level of reflected power from the RF input port 105. This second benefit is also known as an improvement in the input mismatch loss where mismatch loss is defined as (1−|S11|2).


The RF matching network 110 may contain one or more variable reactive elements which are voltage controlled. The variable reactive elements may be, although are not required to be, variable capacitances, variable inductances, or both. In general, the variable capacitors may be semiconductor varactors, MEMS varactors, MEMS switched capacitors, ferroelectric capacitors, or any other technology that implements a variable capacitance. The variable inductors may be switched inductors using various types of RF switches• including MEMS-based switches. The reactive elements may be current controlled rather than voltage controlled without departing from the spirit and scope of the present invention.


In an embodiment of the present invention, the variable capacitors of the RF matching network may be tunable integrated circuits, such as voltage tunable dielectric capacitors or Parascan Tunable Capacitors (PTCs). Each tunable capacitor may be realized as a series network of capacitors which are all tuned using a common tuning voltage.


The RF voltage detector 130 of FIG. 1 may be used to monitor the magnitude of the output nodal voltage. The fundamental concept used in this control system is that the RF power transferred to the arbitrary load impedance 135 is maximized when the RF voltage magnitude at the output port 115 is maximized. It is the understanding of this concept that allows one to remove the directional coupler conventionally located in series with the input port and to thus simplifying the architecture of the control system. A directional coupler is undesirable for numerous reasons:

    • (1) The cost of the coupler,
    • (2) The physical size of the directional coupler may be prohibitive: Broadband couplers are typically ¼ of a guide wavelength in total transmission line length at their mid-band frequency. For a 900 MHz band and an effective dielectric constant of 4, the total line length needs to be about 1.64 inches.
    • (3) The directivity of the directional coupler sets the lower limit on the achievable input return loss of the RF matching network. For instance, a directional coupler with 20 db of coupling will limit the input return loss for the AIMM to about −20 dB.
    • (4) Directional couplers have limited operational bandwidth, where the directivity meets a certain specification. In some applications, the AIMM may need to work at different frequency bands separated by an octave or more, such as at 900 MHz and 1900 MHz in a commercial mobile phone.


The RF voltage detector 130 may be comprised of a diode detector, a temperature compensated diode detector, a logarithmic amplifier, or any other means to detect an RF voltage magnitude. The phase of the RF voltage is not required. The controller 125 accepts as an input the information associated with the detected RF output 115 voltage. The controller 125 provides one or more outputs that control the bias voltage driver circuits. The controller 125 may be digitally-based such as a microprocessor, a digital signal processor, or an ASIC, or any other digital state machine. The controller may also be an analog-based system.


The bias voltage driver circuit 120 is a means of mapping control signals that are output from the controller 125 to a voltage range that is compatible with the tunable reactive elements in the RF matching network 110. The driver circuit may be an application specific integrated circuit (ASIC) whose function is to accept digital signals from the controller 125 and then output one or more analog voltages for one or more tunable reactive elements in the RF matching circuit 110. The driver circuit 120 may provide a wider range of analog tuning voltages than what is used as a power supply voltage by the controller 125. Hence the driver circuit 120 may perform the functions of voltage translation and voltage scaling.


The purpose of the control system shown in FIG. I is to monitor the output RF voltage magnitude and to use this information as an input to an algorithm that adjusts the tuning voltages provided to the tunable reactive elements in the RF matching network 110. The algorithm adjusts the reactances to maximize the RF output 115 voltage. Various options exist 20 for control algorithms. In general, the algorithm may be a scalar multi-dimensional maximization algorithm where the independent variables are the tuning voltages for the reactive elements. Some embodiments of the operation of the tuning algorithm of the present invention, may increase performance of a network and/or enable it to perform in systems that might otherwise make it difficult for the system to make all the required system specifications. GSM, EDGE and WCDMA systems have specification limiting the allowable phase shifts within a transmit burst. Additionally, all cellular handsets have SAR (specific absorption rate) limits 5 dictating how much RF energy may be absorbed by human bodies in close proximity There are soon to be specifications that will dictate TRP (total radiated power) to be transmitted by cellular handsets, and handset suppliers will need to meet these specifications within a small number of transmit bursts (in a TDMA system) or in a very short period of time (in a continuous transmission system).


In order to achieve the above objectives, the AIMM tuning algorithm can contain the following attributes: 1—Limit the number of tuning “steps” that are taken within a transmit burst, or limit the steps to only be allowed between bursts (when the transmitter is disabled). This can be accomplished easily by putting time delays in the algorithm, or to only allow tuning when a Tx Enable line in the transmitter is low. 2—Limit the allowed tuning to avoid certain matching impedances, or put the tuner in a “default” position when the cellular handset transmitter is at the full power step. By doing so at the highest power level, we can avoid having the handset antenna couple higher power into the human tissue near the phone's antenna. It is only at the highest power level where the SAR limit typically becomes an issue, and by limiting the effectiveness of the AIMM tuner at this power level, we can avoid the possibility of causing the handset to exceed the SAR limits 3—In order to allow the AIMM tuner to achieve the optimal match as quickly as possible, a memory system could be engaged in which the optimal match is stored for each frequency band, or perhaps even for each group of channels, and this memorized optimal match is used as the starting position any time the phone is directed to that particular band or channel. This memory could also remember operating positions such as flip-open or flip-closed in order to better “guess” the best starting position for the matching network.


The simplified control system shown in FIG. 1 is illustrated using a 2 port RF matching network. However, this control system is extensible to multi-port RF matching networks as 'shown in FIG. 2, generally as 200. Consider a RF multiplexing filter with N input ports where each port is designed for a specific band of frequencies. Assume that N transmitters drive the N input ports 205, 210, 215 and 220, and that each input port is coupled to the single, RF output port 240 using RF circuits that contain variable reactive elements. The objective of the control system remains the same, to maximize the RF output voltage magnitude, and thus to optimize the power transfer from the nth input port to the arbitrary load impedance. Further, the RF voltage detector 245, controller 235 and bias voltage driver circuit 230 functions as described above with reference to FIG. 1 and in the embodiment of FIG. 2, the RF matching networks is a multi-port RF matching network 225.


Although the present invention is not limited in this respect, the arbitrary load impedance ZL 250 may be a multi-band antenna in a mobile wireless device and the multi-port matching network 225 may be a diplexer whose function is to route the signal between two or more paths by virtue of the signal frequency.


Looking now at FIG. 3, the variable capacitors (such as, but not limited to, PTCs) 320, 325 and 330 and inductors 305 and 310 may be built into a multi chip module 300 containing a detector 360, an ADC 365, a processor 355, DACs 370, voltage buffers, and charge pump 335. This multichip module 300 may be designed with a closed loop feedback system to maximize the RF voltage across the output node by adjusting all the PTC 320, 325 and 330 bias voltages, and doing so independently.


In an embodiment of the present invention as provided in FIG. 3, the RF matching network may be comprised of inductors L1 310, L2 305 and variable capacitors PTC1 320, PTC2 325 and PTC3 330. Note that each variable capacitor may itself be a complex network. The RF voltage detector 360 in this AIMM may be comprised of a resistive voltage divider (5KΩ/50Ω) and the simple diode detector. In an embodiment of the present invention, the controller may be comprised of the analog-to-digital converter or ADC1 355, the microprocessor 355, plus the digital-to-analog converters DAC1 370, DAC2 375 and DAC3 380. The controller may use external signals such as knowledge of frequency, Tx or Rx mode, or other available signals in the operation of its control algorithm. The bias voltage driver circuit may be comprised of a DC-to-DC converter such as the charge pump 335, in addition to the three analog buffers whose output voltage is labeled Vbias1; 385, Vbias 390, and Vbias3 395. The DC-to-DC voltage converter may be needed to supply a higher bias voltage from the analog buffers than what is normally required to power the processor 355. The charge pump may supply a voltage in the range of 10 volts to 50 volts, and in some embodiments, both positive and negative supply voltages may be used.


It should be noted that the RF matching network shown in FIG. 2 is representative of many possible circuit topologies. Shown in FIG. 2 is a ladder network, but other topologies such as a T or Pi network may be used. The variable reactive elements (capacitors) are shown in shunt connections but that is not a restriction, as they may be used in series in other applications. Furthermore, three independent variable capacitances are shown in this RF matching network. However, fewer or more variable reactive elements may be used depending on the complexity needed to meet RF specifications.


In FIG. 3, the inductors for the RF matching network are shown to be included in the AIMM multi chip module. In practice, this may not always be the case. If the module is extremely small, it may be more convenient to use external inductors for the matching network. External inductors may have a higher Q factor than smaller inductors that are able to be integrated on the module.


One of the important engineering specifications of the simplified AIMM control system is the dynamic range of input power over which it will operate. The lowest cost RF voltage detector is a simple diode detector, but it has a limited dynamic range of about 25 dB. Logarithmic amplifiers (that detect the signal envelope) have a much higher dynamic range of 50 dB to 60 dB, but their cost, complexity, chip area, and current drain is also much higher. In an embodiment of the present invention, as illustrated in FIG. 4 at 400, one may use a variable voltage divider to improve the dynamic range of a simple diode detector. The variable voltage divider 430 may be added between the RF output port 435 and the RF voltage detector 425. It is controlled by the loop controller 420 (microprocessor, ASIC, etc), and therefore it is a programmable voltage divider. Bias voltage driver circuit 415 and RF matching network 410 operate as described above with respect to FIG. 1.


As shown in FIG. 5, an embodiment of the present invention provides a simple resistive voltage divider 550 which is implemented using a three-pole RF switch 560 to select one of three different resistances: R1 530, R2 535, or R3 540. Although not limited in this respect, typical values may be 100 Ω, 1KΩ, and 10KΩ. A typical value for R4 565 may be 50Ω which would be a desirable value for most RF detector designs. Assuming a high input impedance for the detector 555, the voltage coupling levels would then be I/3, I/21, and I/201.


This corresponds to voltage coupling levels of −9.5 dB, −26.4 dB, and −46 dB. At, high power levels the lowest coupling is desired. At low power levels, the highest coupling level is desired. The dynamic range of the control loop is equal to that of the detector plus the difference in dB between the highest and lowest coupling levels. As an example, assume a simple diode detector is used which has about 25 dB of dynamic range. The loop dynamic range will then, be 25+[−9.5−(−46)]=61.6 dB. The improvement over using no variable voltage divider is more than 36 dB.


Equally important as enhancing the dynamic range is improving the output harmonics and IP3 of the module. The variable voltage divider 550 will allow the detector input port 505 to be more isolated at the higher power levels. This will improve linearity of the module for high signal levels.


Turning now to FIG. 6, generally at 600 are the functional blocks of a variable 15 voltage divider 640, and the RF matching network 610 may be combined in hardware to some degree by understanding that the output node 625 of the matching network 610 may be connected to a shunt RF branch comprised of a series string of capacitors 660 and to impedance 635. An input node for RFin 605 may also be connected to the RF matching network 610. This series string 660 may be a RF voltage divider 640, and by selectively tapping into various circuit nodes along the string, one may obtain a variable output voltage divider 640. In an embodiment of the present invention, this is done with a digitally controlled RF switch 630. The switch 630 may be realized with FETs, MEMS, PIN diodes, or any other RF switch technology. Associated with variable voltage divider 640 is RF voltage detector 655 and controller 620, which is further connected to RF matching network 610 via bias voltage driver circuit 615.


As a practical matter, the resistance of R1 645 will need to be much higher (>10×) than the reactance of the string of series capacitors 660 between the tap point and ground. An alternative circuit to FIG. 6 would have the resistor R1 645 moved to the capacitor side of the switch SW1 630 and placed in each of the three lines going to the tap points. This will allow the resistors to be built on-hip with the tunable IC used in the matching network. Resister R4 may also be utilized at 650.


Some embodiments of the invention may be implemented, for example, using a machine-readable medium or article which may store an instruction or a set of instructions that, if executed by a machine, for example, by the system of FIG. 1 or FIG. 2, by controller 125 and 235 in communication with bias voltage driver circuit 120 and 230, by processor 355 of FIG. 3, or by other suitable machines, cause the machine to perform a method and/or operations in accordance with embodiments of the invention. Such machine may .include, for example, any suitable processing platform, computing platform, computing device, processing device, computing system, processing system, computer, processor, or the like, and may be implemented using any suitable combination of hardware and/or software. The machine-readable medium or article may include, for example, any suitable type of memory unit, memory device, memory article, memory medium, storage device, storage article, storage medium and/or storage unit, for•example, memory, removable or non-removable media, erasable or non-erasable media, writeable or re-writeable media, digital or analog media, hard disk, floppy disk, Compact Disk Read Only Memory (CD-ROM), Compact Disk Recordable (CD-R), Compact Disk Re-Writeable (CD-RW), optical disk, magnetic media, various types of Digital Versatile Disks (DVDs), a tape, a cassette, or the like. The instructions may include any suitable type of code, for example, source code, compiled code, interpreted code, executable code, static code, dynamic code, or the like, and may be implemented using any suitable high-level, low-level, object-oriented, visual, compiled and/or interpreted programming language, e.g., C, C++, Java, BASIC, Pascal, Fortran, Cobol, assembly language, machine code, or the like.


An embodiment of the present invention provides a machine-accessible medium that provides instructions, which when accessed, cause a machine to perform operations comprising adapting an RF matching network to maximize RF power transferred from at least one RF input port to at least one RF output port by controlling the variation of the voltage or current to voltage or current controlled variable reactive elements in said RF matching network to maximize the RF voltage at said at least one RF output port. The machine-accessible medium of the present invention may further comprise said instructions causing said machine to perform operations further comprising receiving information from a voltage detector connected to said at least one RF output port which determines the voltage at said at least one RF output port and providing voltage information to a controller that controls a bias driving circuit which provides voltage or current bias to said RF matching network.


Some embodiments of the present invention may be implemented by software, by hardware, or by any combination of software and/or hardware as may be suitable for specific applications or in accordance with specific design requirements. Embodiments of the invention may include units and/or sub-units, which may be separate of each other or combined together, in whole or in part, and may be implemented using specific, multi-purpose or general processors r controllers, or devices as are known in the art. Some embodiments of the invention may include buffers, registers, stacks, storage Units and/or memory units, for temporary or long-term storage of data or in order to facilitate the operation of a specific embodiment.


Throughout the aforementioned description, BST may be used as a tunable dielectric material that may be used in 'a tunable dielectric capacitor of the present invention. However, the assignee of the present invention, Paratek Microwave, Inc. has developed and continues to develop tunable dielectric materials that may be utilized in embodiments of the present invention and thus the present invention is not limited to using BST material. This family of tunable dielectric materials may be referred to as Parascan®.


The term Parascan® as used herein is a trademarked term indicating a tunable dielectric material developed by the assignee of the present invention. Parascan® tunable dielectric materials have been described in several patents. Barium strontium titanate (BaTiO3-SrTiO3), also referred to as BSTO, is used for its high dielectric constant (200-6,000) and large change in dielectric constant with applied voltage (25-75 percent with a field of 2 Volts/micron). Tunable dielectric materials including barium strontium titanate are disclosed in U.S. Pat. No. 5,312,790 to Sengupta, et al. entitled “Ceramic Ferroelectric Material”; U.S. Pat. No. 5,427,988 by Sengupta, et al. entitled “Ceramic Ferroelectric Composite Material—BSTO-MgO”; U.S. Pat. No. 5,486,491 to Sengupta, et al. entitled “Ceramic Ferroelectric Composite Material—BSTO-ZrO2”; U.S. Pat. No. 5,635,434 by Sengupta et al. entitled “Ceramic Ferroelectric Composite Material—BSTO-Magnesium Based Compound”; U.S. Pat. No. 5,830,591 by Sengupta, et al. entitled “Multilayered Ferroelectric Composite Waveguides”; U.S. Pat. No. 5,846,893 by Sengupta et al. entitled “Thin Film Ferroelectric Composites and Method of Making”; U.S. Pat. No. 5,766,697 by Sengupta, et al. entitled “Method of Making Thin Film Composites”; U.S. Pat. No. 5,693,429 by Sengupta, et al. entitled “Electronically Graded Multilayer Ferroelectric Composites”; U.S. Pat. No. 5,635,433 by Sengupta entitled “Ceramic Ferroelectric Composite Material BSTO-ZnO”; U.S. Pat. No. 6,074,971 by Chiu et al. entitled 5 “Ceramic Ferroelectric Composite Materials with Enhanced Electronic Properties BSTO Mg Based Compound-Rare Earth Oxide”. These patents are incorporated herein by reference. The materials shown in these patents, especially BSTO-MgO composites, show low dielectric loss and high tunability. Tunability is defined as the fractional change in the dielectric constant with applied voltage.


Barium strontium titanate of the formula BaxSr1-xTiO3 is a preferred electronically tunable dielectric material due to its favorable tuning characteristics, low Curie temperatures and low microwave loss properties. In the formula BaxSr1-xTiO3, x can be any value from 0 to 1, preferably from about 0.15 to about 0.6. More preferably, x is from 0.3 to 0.6.


Other electronically tunable dielectric materials may be used partially or entirely in place of barium strontium titanate. An example is BaxCa1-xTiO3, where x is in a range from about 0.2 to about 0.8, preferably from about 0.4 to about 0.6. Additional electronically tunable ferroelectrics include PbxZr1-xTiO3 (PZT) where x ranges from about 0.0 to about 1.0, PbxZr1-xSrTiO3 where x ranges from about 0.05 to about 0.4, KTaxNb1-xO3 where x ranges from about 0.0 to about 1.0, lead lanthanum zirconium titanate (PLZT), PbTiO3, BaCaZrTiO3, NaNO3, KNbO3, LiNbO3, LiTaO3, PbNb2O6, PbTa2O6, KSr(NbO3) and NaBa2(NbO3)5KH2PO2, and mixtures and compositions thereof. Also, these materials can be combined with low loss dielectric materials, such as magnesium oxide (MgO), aluminum oxide (Al2O3), and zirconium oxide (ZrO2), and/or with additional doping elements, such as manganese (MN), iron (Fe), and tungsten (W), or with other alkali earth metal oxides (i.e. calcium oxide, etc.), transition metal oxides, silicates, niobates, tantalates, aluminates, zirconnates, and titanates to further reduce the dielectric loss.


In addition, the following U.S. patents and patent Applications, assigned to the assignee of this application, disclose additional examples of tunable dielectric materials: U.S. Pat. No. 6,514,895, entitled “Electronically Tunable Ceramic Materials Including Tunable Dielectric and Metal Silicate Phases”; U.S. Pat. No. 6,774,077, entitled “Electronically Tunable, Low-Loss Ceramic Materials Including a Tunable Dielectric Phase and Multiple Metal Oxide Phases”; U.S. Pat. No. 6,737,179 filed Jun. 15, 2001, entitled “Electronically Tunable. Dielectric Composite Thick Films And Methods Of Making Same; U.S. Pat. No. 6,617,062 entitled “Strain-Relieved Tunable Dielectric Thin Films”; U.S. Pat. No. 6,905,989, filed May 31, 2002, entitled “Tunable Dielectric Compositions Including Low Loss Glass”; U.S. patent application Ser. No. 10/991,924, filed Nov. 18, 2004, entitled “Tunable Low Loss Material 15 Compositions and Methods of Manufacture and Use Therefore” These patents and patent applications are incorporated herein by reference.


The tunable dielectric materials can also be combined with one or more non-tunable dielectric materials. The non-tunable phase(s) may include MgO, MgAl2O4, MgTiO3, Mg2SiO4, CaSiO3, MgSrZrTiO6, CaTiO3, Al2O3, SiO2 and/or other metal silicates such as BaSiO3 and SrSiO3. The non-tunable dielectric phases may be any combination of the above, e.g., MgO combined with MgTiO3, MgO combined with MgSrZrTiO6, MgO combined with Mg2SiO4, MgO combined with Mg2SiO4, Mg2SiO4 combined with CaTiO3 and the like.


Additional minor additives in amounts of from about 0.1 to about 5 weight percent can be added to the composites to additionally improve the electronic properties of the films. These minor additives include oxides such as zirconnates, tannates, rare earths, niobates and tantalates. For example, the minor additives may include CaZrO3, BaZrO3, SrZrO3, BaSnO3, CaSnO3, MgSnO3, Bi2O3/2SnO2, Nd2O3, Pr7O11, Yb2O3, Ho2O3, La2O3, MgNb2O6, SrNb2O6, BaNb2O6, MgTa2O6, BaTa2O6 and Ta2O3.


Films of tunable dielectric composites may comprise Ba1-xSrxTiO3, where x is from 0.3 to 0.7 in combination with at least one non-tunable dielectric phase selected from MgO, MgTiO3, MgZrO3, MgSrZrTiO6, Mg2SiO4, CaSiO3, MgAl2O4, CaTiO3, Al2O3, SiO2, BaSiO3 and SrSiO3. These compositions can be BSTO and one of these components, or two or more of these components in quantities from 0.25 weight percent to 80 weight percent with BSTO weight ratios of 99.75 weight percent to 20 weight percent.


The electronically tunable materials may also include at least one metal silicate phase. The metal silicates may include metals from Group 2A of the Periodic Table, i.e., Be, Mg, Ca, Sr, Ba and Ra, preferably Mg, Ca, Sr and Ba. Preferred metal silicates include Mg2SiO4, CaSiO3, BaSiO3 and SrSiO3. In addition to Group 2A metals, the present metal silicates may include metals from Group 1A, i.e., Li, Na, K, Rb, Cs and Fr, preferably Li, Na and K. For example, such metal silicates may include sodium silicates such as Na2SiO3 and NaSiO3-5H2O, and lithium-containing silicates such as LiAlSiO4, Li2SiO3 and L4SiO2. Metals from Groups 3A, 4A and some transition metals of the Periodic. Table may also be suitable constituents of the metal silicate phase. Additional metal silicates may include Al2Si2O7, ZrSiO4, KalSi3O8, NaAlSi3O8, CaAl2Si2O8, CaMgSi2O6, BaTiSi3O9 and Zn2SiO4. The above tunable materials can be tuned at room temperature by controlling an electric field that is applied across the materials.


In addition to the electronically tunable dielectric phase, the electronically tunable materials can include at least two additional metal oxide phases. The additional metal oxides 5 may include metals from Group 2A of the Periodic Table, i.e., Mg, Ca, Sr, Ba, Be and Ra, preferably Mg, Ca, Sr and Ba. The additional metal oxides may also include metals from Group 1A, i.e., Li, Na, K, Rb, Cs and Fr, preferably Li, Na and K. Metals from other Groups of the Periodic Table may also be suitable constituents of the metal oxide phases. For example, refractory metals such as Ti, V, Cr, Mn, Zr, Nb, Mo, Hf, Ta and W may be used. Furthermore, 10 metals such as AI, Si, Sn, Pb and Bi may be used. In addition, the metal oxide phases may comprise rare earth metals such as Sc, Y, La, Ce, Pr, Nd and the like.


The additional metal oxides may include, for example, zirconnates, silicates, titanates, aluminates, stannates, niobates, tantalates and rare earth oxides. Preferred additional metal oxides include Mg2SiO4, MgO, CaTiO3, MgZrSrTiO6, MgTiO3, MgA12O4, WO3, SnTiO4, ZrTiO4, CaSiO3, CaSnO3, CaWO4, CaZrO3, MgTa2O6, MgZrO3, MnO2, PbO, Bi2O3 and La2O3. Particularly preferred additional metal oxides include Mg2SiO4, MgO, CaTiO3, MgZrSrTiO6, MgTiO3, MgAl2O4, MgTa2O6 and MgZrO3.


The additional metal oxide phases are typically present in total amounts of from about 1 to about 80 weight percent of the material, preferably from about 3 to about 65 weight 20 percent, and more preferably from about 5• to about. 60 weight percent. In one preferred embodiment, the additional metal oxides comprise from about 10 to about 50 total weight percent of the material. The individual amount of each additional metal oxide may be adjusted to provide the desired properties. Where two additional metal oxides are used, their weight ratios may vary, for example, from about 1:100 to about 100:1, typically from about 1:10 to about 10:1 or from about 1:5 to about 5:1. Although metal oxides in total amounts of from 1 to 80 weight percent are typically used, smaller additive amounts of from 0.01 to 1 weight percent 5 may be used for some applications.


The additional metal oxide phases can include at least two Mg-containing compounds. In addition to the multiple Mg-containing compounds, the material may optionally include Mg-free compounds, for example, oxides of metals selected from Si, Ca, Zr, Ti, Al and/or rare earths.


While the present invention has been described in terms of what are at present believed to be its preferred embodiments, those skilled in the art will recognize that various modifications to the disclose embodiments can be made without departing from the scope of the invention as defined by the following claims.

Claims
  • 1. A mobile communication device, comprising: an antenna;a matching network coupled with the antenna, wherein the matching network comprises one or more variable reactive elements, and wherein the one or more variable reactive elements comprise a semiconductor varactor, a micro-electro-mechanical systems (MEMS) varactor, a MEMS switched reactive element, a semiconductor switched reactive element, a ferroelectric capacitor or a combination thereof;a memory to store computer instructions; anda controller coupled with the memory and the matching network, wherein the controller, responsive to executing the computer instructions, performs operations comprising: obtaining a voltage at an output of the matching network, wherein the voltage is obtained using a voltage detector;identifying allowable phase shifts within a transmit burst; andadapting the matching network according to the allowable phase shifts and the obtained voltage to increase an RF voltage at the output by varying the one or more variable reactive elements.
  • 2. The mobile communication device of claim 1, wherein the voltage detector is coupled to the output via a variable voltage divider.
  • 3. The mobile communication device of claim 2, wherein the variable voltage divider is programmable using a loop controller.
  • 4. The mobile communication device of claim 1, wherein the voltage detector is a diode detector.
  • 5. The mobile communication device of claim 1, wherein the operations further comprise identifying a default reactance value according to an operating frequency, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
  • 6. The mobile communication device of claim 1, wherein the operations further comprise: identifying a physical state of the mobile communication device; andidentifying a default reactance value according to the physical state, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
  • 7. The mobile communication device of claim 1, wherein the adapting of the matching network comprises limiting a number of tuning steps within the transmit burst.
  • 8. A mobile communication device, comprising: an antenna;a matching network coupled with the antenna, wherein the matching network comprises one or more variable reactive elements, and wherein the one or more variable reactive elements comprise a semiconductor varactor, a micro-electro-mechanical systems (MEMS) varactor, a MEMS switched reactive element, a semiconductor switched reactive element, a ferroelectric capacitor or a combination thereof;a memory to store computer instructions; anda controller coupled with the memory and the matching network, wherein the controller, responsive to executing the computer instructions, performs operations comprising: obtaining a voltage at an output of the matching network, wherein the voltage is obtained using a voltage detector;identifying allowable phase shifts within a transmit burst;identifying undesired matching impedances; andadapting the matching network according to the allowable phase shifts, the obtained voltage and avoiding undesired matching impedances to increase an RF voltage at the output by varying the one or more variable reactive elements.
  • 9. The mobile communication device of claim 8, wherein the voltage detector is coupled to the output via a variable voltage divider.
  • 10. The mobile communication device of claim 9, wherein the variable voltage divider is programmable using a loop controller.
  • 11. The mobile communication device of claim 8, wherein the voltage detector is a diode detector.
  • 12. The mobile communication device of claim 8, wherein the operations further comprise identifying a default reactance value according to an operating frequency, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
  • 13. The mobile communication device of claim 8, wherein the operations further comprise: identifying a physical state of the mobile communication device; andidentifying a default reactance value according to the physical state, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
  • 14. The mobile communication device of claim 8, wherein the adapting of the matching network comprises limiting a number of tuning steps within the transmit burst.
  • 15. A mobile communication device, comprising: an antenna;a matching network coupled with the antenna, wherein the matching network comprises one or more variable reactive elements;a memory to store computer instructions; anda controller coupled with the memory and the matching network, wherein the controller, responsive to executing the computer instructions, performs operations comprising: obtaining a voltage at an output of the matching network, wherein the voltage is obtained using a voltage detector;identifying allowable phase shifts within a transmit burst; andadapting the matching network according to the allowable phase shifts and the obtained voltage to increase an RF voltage at the output by varying the one or more variable reactive elements.
  • 16. The mobile communication device of claim 15, wherein the voltage detector is coupled to the output via a variable voltage divider.
  • 17. The mobile communication device of claim 16, wherein the variable voltage divider is programmable using a loop controller.
  • 18. The mobile communication device of claim 15, wherein the voltage detector is a diode detector.
  • 19. The mobile communication device of claim 15, wherein the operations further comprise identifying a default reactance value according to an operating frequency, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
  • 20. The mobile communication device of claim 15, wherein the operations further comprise: identifying a physical state of the mobile communication device; andidentifying a default reactance value according to the physical state, wherein the varying of the one or more variable reactive elements commences at the default reactance value.
CROSS REFERENCE TO RELATED PATENT APPLICATION

This application is a continuation of U.S. patent application Ser. No. 12/939,110, filed Nov. 3, 2010, which is a continuation of U.S. patent application Ser. No. 12/287,599 filed Oct. 10, 2008 now U.S. Pat. No. 7,852,170, which is a Divisional of U.S. patent application Ser. No. 11/594,309, filed Nov. 8, 2006 now U.S. Pat. No. 7,535,312, the disclosures of all of which are hereby incorporated by reference herein in their entirety.

US Referenced Citations (476)
Number Name Date Kind
2745067 True May 1956 A
3117279 Ludvigson Jan 1964 A
3160832 Beitman Dec 1964 A
3390337 Beitman Jun 1968 A
3443231 Roza May 1969 A
3509500 McNair Apr 1970 A
3571716 Hill Mar 1971 A
3590385 Sabo Jun 1971 A
3601717 Kuecken Aug 1971 A
3742279 Kupsky Jun 1973 A
3749491 Maxfield et al. Jul 1973 A
3794941 Templin Feb 1974 A
3919644 Smolka Nov 1975 A
3990024 Hou Nov 1976 A
3995237 Brunner Nov 1976 A
4186359 Kaegebein Jan 1980 A
4201960 Skutta May 1980 A
4227256 O'Keefe Oct 1980 A
4383441 Willis May 1983 A
4476578 Gaudin Oct 1984 A
4493112 Bruene Jan 1985 A
4509019 Banu et al. Apr 1985 A
4777490 Sharma Oct 1988 A
4799066 Deacon Jan 1989 A
4965607 Wilkins Oct 1990 A
4980656 Duffalo Dec 1990 A
5032805 Elmer Jul 1991 A
5136478 Bruder Aug 1992 A
5142255 Chang Aug 1992 A
5177670 Shinohara Jan 1993 A
5195045 Keane Mar 1993 A
5200826 Seong Apr 1993 A
5212463 Babbitt May 1993 A
5215463 Marshall Jun 1993 A
5230091 Vaisanen et al. Jul 1993 A
5243358 Sanford Sep 1993 A
5258728 Taniyoshi Nov 1993 A
5276912 Siwiak Jan 1994 A
5301358 Gaskill Apr 1994 A
5307033 Koscica Apr 1994 A
5310358 Johnson May 1994 A
5312790 Sengupta May 1994 A
5334958 Babbitt Aug 1994 A
5361403 Dent Nov 1994 A
5371473 Trinh Dec 1994 A
5409889 Das Apr 1995 A
5427988 Sengupta Jun 1995 A
5430417 Martin Jul 1995 A
5446447 Carney Aug 1995 A
5448252 Ali Sep 1995 A
5451567 Das Sep 1995 A
5451914 Stengel Sep 1995 A
5457394 McEwan Oct 1995 A
5472935 Yandrofski Dec 1995 A
5479139 Koscica Dec 1995 A
5486491 Sengupta Jan 1996 A
5496795 Das Mar 1996 A
5502372 Quan Mar 1996 A
5524281 Bradley Jun 1996 A
5548837 Hess et al. Aug 1996 A
5561407 Koscica Oct 1996 A
5564086 Cygan Oct 1996 A
5589844 Belcher et al. Dec 1996 A
5593495 Masuda Jan 1997 A
5635433 Sengupta Jun 1997 A
5635434 Sengupta Jun 1997 A
5640042 Koscica Jun 1997 A
5679624 Das Oct 1997 A
5689219 Piirainen Nov 1997 A
5693429 Sengupta Dec 1997 A
5694134 Barnes Dec 1997 A
5699071 Urakami Dec 1997 A
5721194 Yandrofski Feb 1998 A
5766697 Sengupta Jun 1998 A
5777581 Lilly Jul 1998 A
5778308 Sroka Jul 1998 A
5786727 Sigmon Jul 1998 A
5812572 King Sep 1998 A
5812943 Suzuki Sep 1998 A
5830591 Sengupta Nov 1998 A
5846893 Sengupta Dec 1998 A
5874926 Tsuru Feb 1999 A
5880635 Satoh Mar 1999 A
5886867 Chivukula Mar 1999 A
5892482 Coleman et al. Apr 1999 A
5929717 Richardson Jul 1999 A
5940030 Hampel et al. Aug 1999 A
5963871 Zhinong Oct 1999 A
5969582 Boesch Oct 1999 A
5982099 Barnes et al. Nov 1999 A
5990766 Zhang Nov 1999 A
6009124 Smith Dec 1999 A
6020787 Kim Feb 2000 A
6020795 Kim Feb 2000 A
6029075 Das Feb 2000 A
6045932 Jia Apr 2000 A
6061025 Jackson May 2000 A
6064865 Kuo et al. May 2000 A
6074971 Chiu Jun 2000 A
6096127 Dimos Aug 2000 A
6100733 Dortu Aug 2000 A
6101102 Brand Aug 2000 A
6115585 Matero Sep 2000 A
6125266 Matero et al. Sep 2000 A
6133883 Munson Oct 2000 A
6172385 Duncombe Jan 2001 B1
6215644 Dhuler Apr 2001 B1
6242989 Barber Jun 2001 B1
6266528 Farzaneh Jul 2001 B1
6281748 Klomsdorf et al. Aug 2001 B1
6281847 Lee Aug 2001 B1
6309895 Jaing Oct 2001 B1
6343208 Ying Jan 2002 B1
6377142 Chiu Apr 2002 B1
6377217 Zhu Apr 2002 B1
6377440 Zhu Apr 2002 B1
6384785 Kamogawa May 2002 B1
6404614 Zhu Jun 2002 B1
6408190 Ying Jun 2002 B1
6414562 Bouisse Jul 2002 B1
6415562 Donaghue Jul 2002 B1
6452776 Chakravorty Sep 2002 B1
6461930 Akram Oct 2002 B2
6466774 Okabe Oct 2002 B1
6492883 Liang Dec 2002 B2
6514895 Chiu Feb 2003 B1
6525630 Zhu Feb 2003 B1
6531936 Chiu Mar 2003 B1
6535076 Partridge Mar 2003 B2
6535722 Rosen Mar 2003 B1
6538603 Chen Mar 2003 B1
6556102 Sengupta Apr 2003 B1
6556814 Klomsdorf Apr 2003 B1
6570462 Edmonson May 2003 B2
6590468 du Toit Jul 2003 B2
6590541 Schultze Jul 2003 B1
6597265 Liang Jul 2003 B2
6608603 Alexopoulos Aug 2003 B2
6624786 Boyle Sep 2003 B2
6640085 Chatzipetros Oct 2003 B1
6657595 Phillips Dec 2003 B1
6661638 Terry Dec 2003 B2
6670256 Yang Dec 2003 B2
6710651 Forrester Mar 2004 B2
6724611 Mosley Apr 2004 B1
6724890 Bareis Apr 2004 B1
6737179 Sengupta May 2004 B2
6747522 Pietruszynski et al. Jun 2004 B2
6759918 Du Toit Jul 2004 B2
6765540 Toncich Jul 2004 B2
6768472 Alexopoulos Jul 2004 B2
6774077 Sengupta Aug 2004 B2
6795712 Vakilian Sep 2004 B1
6825818 Toncich Nov 2004 B2
6839028 Lee Jan 2005 B2
6845126 Dent Jan 2005 B2
6859104 Toncich Feb 2005 B2
6862432 Kim Mar 2005 B1
6864757 Du Toit Mar 2005 B2
6868260 Jagielski Mar 2005 B2
6875655 Lin Apr 2005 B2
6882245 Utsunomiya et al. Apr 2005 B2
6888714 Shaw May 2005 B2
6905989 Ellis Jun 2005 B2
6906653 Uno Jun 2005 B2
6907234 Karr Jun 2005 B2
6920315 Wilcox et al. Jul 2005 B1
6922330 Nielsen Jul 2005 B2
6943078 Zheng Sep 2005 B1
6946847 Nishimori Sep 2005 B2
6949442 Barth Sep 2005 B2
6961368 Dent Nov 2005 B2
6964296 Memory Nov 2005 B2
6965837 Vintola Nov 2005 B2
6987493 Chen Jan 2006 B2
6993297 Smith Jan 2006 B2
6999297 Klee Feb 2006 B1
7009455 Toncich Mar 2006 B2
7071776 Forrester Jul 2006 B2
7106715 Kelton Sep 2006 B1
7107033 D du Toit Sep 2006 B2
7113614 Rhoads Sep 2006 B2
7151411 Martin Dec 2006 B2
7176634 Kitamura Feb 2007 B2
7176845 Fabrega-Sanchez Feb 2007 B2
7180467 Fabrega-Sanchez Feb 2007 B2
7221327 Toncich May 2007 B2
7298329 Diament Nov 2007 B2
7299018 Van Rumpt Nov 2007 B2
7312118 Kiyotoshi Dec 2007 B2
7332980 Zhu Feb 2008 B2
7332981 Matsuno Feb 2008 B2
7339527 Sager Mar 2008 B2
7369828 Shamsaifar May 2008 B2
7426373 Clingman Sep 2008 B2
7427949 Channabasappa et al. Sep 2008 B2
7453405 Nishikido et al. Nov 2008 B2
7468638 Tsai Dec 2008 B1
7469129 Blaker et al. Dec 2008 B2
7528674 Kato et al. May 2009 B2
7531011 Yamasaki May 2009 B2
7535080 Zeng et al. May 2009 B2
7535312 McKinzie May 2009 B2
7539527 Jang May 2009 B2
7557507 Wu Jul 2009 B2
7596357 Nakamata Sep 2009 B2
7633355 Matsuo Dec 2009 B2
7642879 Matsuno Jan 2010 B2
7655530 Hosking Feb 2010 B2
7667663 Hsiao Feb 2010 B2
7671693 Brobston et al. Mar 2010 B2
7705692 Fukamachi et al. Apr 2010 B2
7711337 McKinzie May 2010 B2
7714676 McKinzie May 2010 B2
7714678 du Toit et al. May 2010 B2
7728693 du Toit et al. Jun 2010 B2
7760699 Malik Jul 2010 B1
7768400 Lawrence et al. Aug 2010 B2
7786819 Ella Aug 2010 B2
7795990 du Toit Sep 2010 B2
7830320 Shamblin et al. Nov 2010 B2
7852170 McKinzie Dec 2010 B2
7856228 Lekutai et al. Dec 2010 B2
7865154 Mendolia Jan 2011 B2
7907094 Kakitsu et al. Mar 2011 B2
7917104 Manssen et al. Mar 2011 B2
7949309 Rofougaran May 2011 B2
7969257 du Toit Jun 2011 B2
7983615 Bryce et al. Jul 2011 B2
7991363 Greene Aug 2011 B2
8008982 McKinzie Aug 2011 B2
8072285 Spears Dec 2011 B2
8112043 Knudsen et al. Feb 2012 B2
8170510 Knudsen et al. May 2012 B2
8190109 Ali et al. May 2012 B2
8204446 Scheer Jun 2012 B2
8213886 Blin Jul 2012 B2
8217731 McKinzie Jul 2012 B2
8217732 McKinzie Jul 2012 B2
8299867 McKinzie Oct 2012 B2
8320850 Khlat Nov 2012 B1
8325097 McKinzie, III et al. Dec 2012 B2
8405563 McKinzie et al. Mar 2013 B2
8421548 Spears Apr 2013 B2
8432234 Manssen et al. Apr 2013 B2
8442457 Harel et al. May 2013 B2
8457569 Blin Jun 2013 B2
8472888 Manssen et al. Jun 2013 B2
8558633 McKinzie, III Oct 2013 B2
8564381 McKinzie Oct 2013 B2
8594584 Greene Nov 2013 B2
8620236 Manssen et al. Dec 2013 B2
8620246 McKinzie Dec 2013 B2
8620247 McKinzie Dec 2013 B2
8655286 Mendolia Feb 2014 B2
8674783 Spears et al. Mar 2014 B2
8680934 McKinzie et al. Mar 2014 B2
8693963 du Toit et al. Apr 2014 B2
8712340 Hoirup et al. Apr 2014 B2
8787845 Manssen et al. Jul 2014 B2
8957742 Spears et al. Feb 2015 B2
9026062 Greene et al. May 2015 B2
9119152 Blin Aug 2015 B2
20020008672 Gothard et al. Jan 2002 A1
20020030566 Bozler Mar 2002 A1
20020079982 Lafleur et al. Jun 2002 A1
20020109642 Gee et al. Aug 2002 A1
20020118075 Ohwada Aug 2002 A1
20020145483 Bouisse Oct 2002 A1
20020167963 Joa-Ng Nov 2002 A1
20020183013 Auckland et al. Dec 2002 A1
20020187780 Souissi Dec 2002 A1
20020191703 Ling Dec 2002 A1
20020193088 Jung Dec 2002 A1
20030060227 Sekine Mar 2003 A1
20030071300 Yashima Apr 2003 A1
20030114124 Higuchi Jun 2003 A1
20030142022 Ollikainen Jul 2003 A1
20030184319 Nishimori Oct 2003 A1
20030193997 Dent Oct 2003 A1
20030199286 D du Toit Oct 2003 A1
20030210206 Phillips Nov 2003 A1
20030216150 Ueda Nov 2003 A1
20030232607 Le Bars Dec 2003 A1
20040009754 Smith, Jr. et al. Jan 2004 A1
20040090372 Nallo May 2004 A1
20040100341 Luetzelschwab May 2004 A1
20040127178 Kuffner Jul 2004 A1
20040137950 Bolin Jul 2004 A1
20040202399 Kochergin Oct 2004 A1
20040227176 York Nov 2004 A1
20040232982 Ichitsubo et al. Nov 2004 A1
20040257293 Friedrich Dec 2004 A1
20040263411 Fabrega-Sanchez et al. Dec 2004 A1
20050007291 Fabrega-Sanchez Jan 2005 A1
20050032488 Pehlke Feb 2005 A1
20050032541 Wang Feb 2005 A1
20050042994 Otaka Feb 2005 A1
20050059362 Kalajo et al. Mar 2005 A1
20050082636 Yashima Apr 2005 A1
20050085204 Poilasne et al. Apr 2005 A1
20050093624 Forrester et al. May 2005 A1
20050130608 Forse Jun 2005 A1
20050130699 Kim Jun 2005 A1
20050208960 Hassan Sep 2005 A1
20050215204 Wallace Sep 2005 A1
20050227627 Cyr et al. Oct 2005 A1
20050227633 Dunko Oct 2005 A1
20050259011 Vance Nov 2005 A1
20050260962 Nazrul et al. Nov 2005 A1
20050264455 Talvitie Dec 2005 A1
20050280588 Fujikawa et al. Dec 2005 A1
20050282503 Onno Dec 2005 A1
20060003537 Sinha Jan 2006 A1
20060009165 Alles Jan 2006 A1
20060030277 Cyr et al. Feb 2006 A1
20060077082 Shanks et al. Apr 2006 A1
20060099915 Laroia et al. May 2006 A1
20060119511 Collinson et al. Jun 2006 A1
20060148415 Hamalainen et al. Jul 2006 A1
20060160501 Mendolia Jul 2006 A1
20060183431 Chang et al. Aug 2006 A1
20060183433 Mori et al. Aug 2006 A1
20060183442 Chang et al. Aug 2006 A1
20060195161 Li et al. Aug 2006 A1
20060205368 Bustamante Sep 2006 A1
20060281423 Caimi Dec 2006 A1
20070001924 Hirabayashi Jan 2007 A1
20070013483 Stewart Jan 2007 A1
20070035458 Ohba et al. Feb 2007 A1
20070042725 Poilasne Feb 2007 A1
20070042734 Ryu Feb 2007 A1
20070063788 Zhu Mar 2007 A1
20070080888 Mohamadi Apr 2007 A1
20070082611 Terranova et al. Apr 2007 A1
20070085609 Itkin et al. Apr 2007 A1
20070091006 Thober et al. Apr 2007 A1
20070111681 Alberth et al. May 2007 A1
20070121267 Kotani May 2007 A1
20070142011 Shatara Jun 2007 A1
20070142014 Wilcox Jun 2007 A1
20070149146 Hwang Jun 2007 A1
20070171879 Bourque Jul 2007 A1
20070182636 Carlson Aug 2007 A1
20070184825 Lim et al. Aug 2007 A1
20070194859 Brobston Aug 2007 A1
20070197180 McKinzie et al. Aug 2007 A1
20070200766 McKinzie Aug 2007 A1
20070200773 Dou et al. Aug 2007 A1
20070248238 Abreu et al. Oct 2007 A1
20070285326 McKinzie Dec 2007 A1
20070293176 Yu Dec 2007 A1
20080007478 Jung Jan 2008 A1
20080018541 Pang Jan 2008 A1
20080030165 Lisac et al. Feb 2008 A1
20080055016 Morris Mar 2008 A1
20080055168 Massey et al. Mar 2008 A1
20080081670 Rofougaran Apr 2008 A1
20080090539 Thompson Apr 2008 A1
20080094149 Brobston Apr 2008 A1
20080106350 McKinzie May 2008 A1
20080122553 McKinzie May 2008 A1
20080122723 Rofougaran May 2008 A1
20080129612 Wang Jun 2008 A1
20080158076 Walley Jul 2008 A1
20080174508 Iwai et al. Jul 2008 A1
20080261544 Blin Oct 2008 A1
20080274706 Blin Nov 2008 A1
20080280570 Blin Nov 2008 A1
20080285729 Glasgow et al. Nov 2008 A1
20080288028 Larson Nov 2008 A1
20080294718 Okano Nov 2008 A1
20080300027 Dou et al. Dec 2008 A1
20080305749 Ben-Bassat Dec 2008 A1
20080305750 Alon et al. Dec 2008 A1
20080309617 Kong et al. Dec 2008 A1
20090002077 Rohani et al. Jan 2009 A1
20090027286 Ohishi Jan 2009 A1
20090039976 McKinzie, III Feb 2009 A1
20090082017 Chang et al. Mar 2009 A1
20090109880 Kim et al. Apr 2009 A1
20090121963 Greene May 2009 A1
20090149136 Rofougaran Jun 2009 A1
20090180403 Tudosoiu Jul 2009 A1
20090184879 Derneryd Jul 2009 A1
20090215446 Hapsari et al. Aug 2009 A1
20090231220 Zhang et al. Sep 2009 A1
20090253385 Dent et al. Oct 2009 A1
20090264065 Song Oct 2009 A1
20090278685 Potyrailo Nov 2009 A1
20090295651 Dou et al. Dec 2009 A1
20090323572 Shi et al. Dec 2009 A1
20090323582 Proctor et al. Dec 2009 A1
20100041348 Wilcox et al. Feb 2010 A1
20100053009 Rofougaran Mar 2010 A1
20100060531 Rappaport Mar 2010 A1
20100073103 Spears et al. Mar 2010 A1
20100085260 McKinzie Apr 2010 A1
20100085884 Srinivasan et al. Apr 2010 A1
20100105425 Asokan Apr 2010 A1
20100107067 Vaisanen et al. Apr 2010 A1
20100134215 Lee et al. Jun 2010 A1
20100156552 McKinzie Jun 2010 A1
20100164640 McKinzie Jul 2010 A1
20100164641 McKinzie Jul 2010 A1
20100214189 Kanazawa Aug 2010 A1
20100232474 Rofougaran et al. Sep 2010 A1
20100244576 Hillan et al. Sep 2010 A1
20100285836 Horihata et al. Nov 2010 A1
20100302106 Knudsen et al. Dec 2010 A1
20100304688 Knudsen Dec 2010 A1
20110002080 Ranta Jan 2011 A1
20110012790 Badaruzzaman Jan 2011 A1
20110014879 Alberth et al. Jan 2011 A1
20110014886 Manssen Jan 2011 A1
20110043298 McKinzie Feb 2011 A1
20110043328 Bassali Feb 2011 A1
20110053524 Manssen Mar 2011 A1
20110063042 Mendolia Mar 2011 A1
20110086600 Muhammad Apr 2011 A1
20110086630 Manssen Apr 2011 A1
20110102290 Milosavljevic May 2011 A1
20110105023 Scheer et al. May 2011 A1
20110116423 Rousu et al. May 2011 A1
20110117863 Camp, Jr. et al. May 2011 A1
20110117973 Asrani et al. May 2011 A1
20110121079 Lawrence et al. May 2011 A1
20110122040 Wakabayashi et al. May 2011 A1
20110133994 Korva Jun 2011 A1
20110140982 Ozden et al. Jun 2011 A1
20110183628 Baker Jul 2011 A1
20110183633 Ohba et al. Jul 2011 A1
20110195679 Lee et al. Aug 2011 A1
20110227666 Manssen Sep 2011 A1
20110237207 Bauder Sep 2011 A1
20110249760 Chrisikos et al. Oct 2011 A1
20110250852 Greene Oct 2011 A1
20110254637 Manssen Oct 2011 A1
20110254638 Manssen Oct 2011 A1
20110256857 Chen et al. Oct 2011 A1
20110281532 Shin et al. Nov 2011 A1
20110299438 Mikhemar et al. Dec 2011 A1
20110306310 Bai Dec 2011 A1
20110309980 Ali et al. Dec 2011 A1
20120051409 Brobston Mar 2012 A1
20120062431 Tikka et al. Mar 2012 A1
20120075159 Chang Mar 2012 A1
20120084537 Indukuru Apr 2012 A1
20120094708 Park Apr 2012 A1
20120100802 Mohebbi Apr 2012 A1
20120112851 Manssen May 2012 A1
20120112852 Manssen May 2012 A1
20120119843 Du Toit May 2012 A1
20120119844 Du Toit May 2012 A1
20120154975 Oakes Jun 2012 A1
20120214421 Hoirup Aug 2012 A1
20120220243 Mendolia Aug 2012 A1
20120243579 Premakanthan et al. Sep 2012 A1
20120286586 Balm Nov 2012 A1
20120293384 Knudsen et al. Nov 2012 A1
20120295554 Greene Nov 2012 A1
20120295555 Greene Nov 2012 A1
20120309332 Liao Dec 2012 A1
20130005277 Klomsdorf et al. Jan 2013 A1
20130052967 Black et al. Feb 2013 A1
20130056841 Hsieh et al. Mar 2013 A1
20130076579 Zhang et al. Mar 2013 A1
20130076580 Zhang et al. Mar 2013 A1
20130106332 Williams et al. May 2013 A1
20130122829 Hyvonen et al. May 2013 A1
20130137384 Desclos et al. May 2013 A1
20130154897 Sorensen et al. Jun 2013 A1
20130215846 Yerrabommanahalli et al. Aug 2013 A1
20130293425 Zhu et al. Nov 2013 A1
20130315285 Black et al. Nov 2013 A1
20140002323 Ali et al. Jan 2014 A1
Foreign Referenced Citations (37)
Number Date Country
101640949 Feb 2010 CN
19614655 Oct 1997 DE
102008050743 Apr 2010 DE
102009018648 Oct 2010 DE
0685936 Jun 1995 EP
0909024 Apr 1999 EP
1079296 Feb 2001 EP
1137192 Sep 2001 EP
1298810 Apr 2006 EP
2214085 Aug 2010 EP
2328233 Jun 2011 EP
2388925 Nov 2011 EP
2424119 Feb 2012 EP
03276901 Mar 1990 JP
02-077580 Sep 1991 JP
9321526 Dec 1997 JP
10209722 Aug 1998 JP
2000124066 Apr 2000 JP
2005-130441 May 2005 JP
100645526 Nov 2006 KR
10-0740177 Jul 2007 KR
0171846 Sep 2001 WO
2006031170 Mar 2006 WO
2008030165 Mar 2008 WO
2009064968 May 2009 WO
2009108391 Sep 2009 WO
2009155966 Dec 2009 WO
2010028521 Mar 2010 WO
2010121914 Oct 2010 WO
2011044592 Apr 2011 WO
2011084716 Jul 2011 WO
2011084716 Jul 2011 WO
2011102143 Aug 2011 WO
2011133657 Oct 2011 WO
2011028453 Oct 2011 WO
2012067622 May 2012 WO
2012085932 Jun 2012 WO
Non-Patent Literature Citations (22)
Entry
Bezooijen, A. et al., “A GSM/EDGE/WCDMA Adaptive Series-LC Matching Network Using RF-MEMS Switches”, IEEE Journal of Solid-State Circuits, vol. 43, No. 10, Oct. 2008, 2259-2268.
Eiji, N., “High-Frequency Circuit and Its Manufacture”, Patent Abstracts of Japan, vol. 1998, No. 13, Nov. 30, 1998 & JP 10 209722 A (Seiko Epson Corp), Aug. 7, 1998.
Huang, Libo et al., “Theoretical and experimental investigation of adaptive antenna impedance matching for multiband mobile phone applications”, IEEE, Sep. 7, 2005, 13-17.
Hyun, S. , “Effects of strain on the dielectric properties of tunable.dielectric SrTi03 thin films”, Applied Physics Letters, vol. 79, No. 2, Jul. 9, 2001.
Ida, I. et al., “An Adaptive Impedence Matching System and its Application to Mobile Antennas”, TENCON 2004, IEEE Region 10 Conference, See Abstract ad p. 544, Nov. 21-24, 2004, 543-547.
Katsuya, K., “Hybrid Integrated Circuit Device”, Patent Abstracts of Japan, Publication number: 03-276901, Date of publication of application: Sep. 12, 1991.
Manssen, “Method and Apparatus for Managing.Interference in a Communication Device”, U.S. Appl. No. 61/326,206, filed Apr. 20, 2010.
Paratek Microwave, Inc., “Method and Appartus for Tuning Antennas in a Communication Device”, International Application No. PCT/US11/59620; Filed Nov. 7, 2011.
Patent Cooperation Treaty, “International Search Report and Written Opinion”, International Application No. PCT/US2010/046241, Mar. 2, 2011.
Patent Cooperation Treaty, “International Search Report and Written Opinion”, International Application No. PCT/US2010/056413, Jul. 27, 2011.
Patent Cooperation Treaty, “International Search Report and Written Opinion”, Nov. 16, 2011, International Application No. PCT/US/2011/038543.
Patent Cooperation Treaty, “International Search Report and Written Opinion”, PCT Application No. PCT/US08/005085, Jul. 2, 2008.
Pervez, N.K. , “High Tunability barium strontium titanate thin films for RF circuit applications”, Applied Physics Letters, vol. 85, No. 19, Nov. 8, 2004.
Petit, Laurent , “MEMS-Switched Parasitic-Antenna Array for Radiation Pattern Diversity”, IEEE Transactions on Antennas and Propagation, vol. 54, No. 9, Sep. 2009, 2624-2631.
Qiao, et al., “Antenna Impedance Mismatch Measurement and Correction for Adaptive COMA Transceivers”, IEEE, Jan. 2005.
Qiao, et al., “Measurement of Antenna Load Impedance for Power Amplifiers”, The Department of Electrical and Computer Engineering, University of California, San Diego, Sep. 13, 2004.
Stemmer, Susanne , “Low-loss tunable capacitors fabricated directly on gold bottom electrodes”, Applied Physics Letters 88, 112905, Mar. 15, 2006.
Taylor, T.R. , “Impact of thermal strain on the dielectric constant of sputtered barium strontium titanate thin films”, Applied Physics Letters, vol. 80, No. 11, Mar. 18, 2002.
Tombak, Ali , “Tunable Barium Strontium Titanate Thin Film Capacitors for RF and Microwave Applications”, IEEE Microwave and Wireles Components Letters, vol. 12, Jan 2002.
Xu, Hongtao , “Tunable Microwave Integrated Circuits using BST Thin Film Capacitors with Device”, Integrated Ferroelectrics, Department of Electrical Engineering and Computer Engineering, University of California, 2005, Apr. 2005.
Zuo, S. , “Eigenmode Decoupling for Mimo Loop-Antenna Based on 180 Coupler”, Progress in Electromagnetics Research Letters, vol. 26, Aug. 2011, 11-20.
Payandehjoo, Kasra et al., “Investigation of Parasitic Elements for Coupling Reduction in MultiAntenna Hand-Set Devices”, Published online Jan. 22, 2013 in Wiley Online Library (wileyonlinelibrary.com).
Related Publications (1)
Number Date Country
20140145902 A1 May 2014 US
Divisions (1)
Number Date Country
Parent 11594309 Nov 2006 US
Child 12287599 US
Continuations (2)
Number Date Country
Parent 12939110 Nov 2010 US
Child 14169599 US
Parent 12287599 Oct 2008 US
Child 12939110 US