The present disclosure is generally related to noise suppression/isolation for mixed-signal systems in which RF/analog and digital circuits exist together, filters, and more particularly, is related to tunable electromagnetic bandgap structures.
Radio frequency (RF) front-end circuits like low noise amplifiers (LNAs) need to detect low-power signals and are therefore extremely sensitive by nature. A large noise spike, either in or close to the operating frequency band of the device, can de-sensitize the circuit and destroy its functionality. To prevent this problem, all radio architectures include filters and other narrow band circuits, which prevent the noise in the incoming spectrum from reaching the LNA. However, there are no systematic ways to filter noise from other sources, such as noise coupling through the power supply and appearing at the output of the LNA, where it can degrade the performance of the downstream circuits.
The sensitivity of RF circuits to power supply noise has resulted in difficulties for integration of digital and RF/analog sub-systems on packaging structures. One typical approach to isolate the sensitive RF/analog circuits from the noisy digital circuits is to split the power plane or both power and ground planes. The gap in power plane or ground plane can partially block the propagation of electromagnetic waves. For this reason, split planes are usually used to isolate sensitive RF/analog circuits from noisy digital circuits. Although split planes can block the propagation of electromagnetic waves, part of the electromagnetic energy can still couple through the gap. Due to the electromagnetic coupling, this method only provides a marginal isolation (i.e., −20 dB to −60 dB) at high frequencies (i.e., above ˜1 GHz) and becomes ineffective as the sensitivity of RF circuits increases and operating frequency of the system increases. At low frequencies (i.e., below ˜1 GHz), split planes provide an isolation of −70 dB to −80 dB.
In addition, split planes sometimes require separate power supplies to maintain the same DC level, which is not cost-effective. Therefore, the development of a better noise isolation method is needed for good performance of a system having a RF/analog circuit and a digital circuit.
Furthermore, as systems become more compact, multiple power supplies become a luxury that the designer cannot afford. The use of ferrite beads have been suggested as a solution to these problems, enabling increased isolation as well as the use of a single power supply. However, due to the high sensitivity of RF circuitry, the amount of isolation provided by ferrite beads again tends to be insufficient at high frequencies.
Electromagnetic bandgap (EBG) structures have become very popular due to their enormous applications for suppression of unwanted electromagnetic mode transmission and radiation in the area of microwave and millimeter waves. EBG structures are periodic structures in which propagation of electromagnetic waves is not allowed in a specified frequency band. In recent years, EBG structures have been proposed to suppress simultaneous switching noise (SSN) in a power distribution network (PDN) in high-speed digital systems for antenna applications. These EBG structures have a thick dielectric layer (60 mils to 180 mils) that exists between the power plane and the ground plane. In addition, these EBG structures require an additional metal layer with via connections. Thus, these EBG structures are expensive solutions for printed circuit board (PCB) applications.
Accordingly, there is a need in the industry to address the aforementioned deficiencies and/or inadequacies.
Alternating impedance electromagnetic bandgap (AI-EBG) structures, systems incorporating AI-EBG structures, and methods of making AI-EBG structures, are disclosed. A representative embodiment of a structure, among others, includes a first layer, wherein the first layer comprises a signal layer; a second layer disposed on a back side of the first layer, wherein the second layer comprises a dielectric layer; a third layer disposed on a back side of the second layer, wherein the third layer comprises a solid metal plane; a fourth layer disposed on a back side of the third layer, wherein the fourth layer comprises a dielectric layer; and a fifth layer disposed on a back side of the fourth layer, wherein the fifth layer comprises an alternating impedance electromagnetic bandgap (AI-EBG) plane.
The AI-EBG plane includes a plurality of first elements disposed on a first plane, each first element comprising a first metal layer, wherein each first element has a rectangular shape; and a second element connecting each first element to an adjacent first element at a position adjacent to the corner of the first element, the second element being disposed on the first plane, the second element comprising the first metal layer, wherein the first elements and second elements substantially filter electromagnetic waves to a stopband floor of about −60 dB to about −140 dB in a bandgap of about 100 MHz to about 50 GHz, having a width selected from about 1 GHz, 2 GHz, 3 GHz, 5 GHz, 10 GHz, 20 GHz, and 30 GHz, and having a center frequency positioned at a frequency from about 1 GHz to 37 GHz.
A representative method of fabricating an AI-EBG structure, among others, includes providing a first layer, wherein the first layer comprises a signal layer; disposing a second layer on a back side of the first layer, wherein the second layer comprises a dielectric layer; disposing a third layer on a back side of the second layer, wherein the third layer comprises a solid metal plane; disposing a fourth layer on a back side of the third layer, wherein the fourth layer comprises a dielectric layer; and disposing a fifth layer on a back side of the fourth layer, wherein the fifth layer comprises an alternating impedance electromagnetic bandgap (AI-EBG) plane.
Other structures, systems, methods, features, and advantages of the present disclosure will be, or become, apparent to one with skill in the art upon examination of the following drawings and detailed description. It is intended that all such additional structures, systems, methods, features, and advantages be included within this description, be within the scope of the present disclosure, and be protected by the accompanying claims.
Many aspects of the disclosure can be better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views.
Structures and systems having alternating impedance electromagnetic bandgap (AI-EBG) structures or planes and methods of fabrication thereof are described. Embodiments of the structures (hereinafter “AI-EBG structures”) provide deeper stopband and wider stopband, which provides better noise suppression than other EBG structures. In addition, embodiments of the AI-EBG structure maintain signal integrity (e.g., maintaining signal integrity ensures signals are undistorted and do not cause problems to themselves, to other components in the system, or to other systems nearby) and limit electromagentic interference (EMI). Further, embodiments of the AI-EBG structure provide tunable isolation between RF/analog circuits and digital circuits in certain frequency bandgaps.
The AI-EBG structure can be used in mixed signal systems and high-speed digital systems. For example, the AI-EBG structures can be included in, but are not limited to, cellular systems, power distribution systems in mixed-signal package and board, power distribution systems in a high-speed digital package and board, power distribution networks in RF systems, and combinations thereof. The compact design of the AI-EBG structure is particularly well suited for devices or systems requiring minimization of the size of the structure.
In general, the AI-EBG structure includes a stacking structure that includes, but is not limited to, a signal layer, an AI-EBG plane, and a solid metal plane. The design methodology of the stacking of layers and planes provides an AI-EBG structure that operates in mixed-signal systems while maintaining signal integrity, reducing EMI, and reducing noise. By using the solid metal plane as the reference plane for the signal layer in mixed-signal systems, the AI-EBG structure substantially avoids signal integrity and EMI problems, while the AI-EBG plane suppresses noise.
The stacking configurations illustrated in
In regard to the AI-EBG plane, the AI-EBG plane includes a plurality of first elements, where each first element is connected to another first element by a second element, thereby forming a continuous, two-dimensional, and periodic structure in the same dimensional plane. Unlike mushroom-type EBG structures, the AI-EBG structure is relatively simple and can be easily designed and fabricated using planar printed circuit board processes.
Although not intending to be bound by theory, the plurality of first elements can be etched in a power plane (or in a ground plane) and connected by the second elements etched in the same dimensional plane to form a distributed LC network (where L is inductance and C is capacitance). The second elements introduce additional inductance, while the capacitance is mainly formed by the first elements and the corresponding parts of the other solid plane. The resultant effect is substantial isolation of electromagnetic waves from one or more components positioned on the AI-EBG structures.
EBG structures in the two dimensional plane (i.e., xy plane) are desirable because vias are not required to interconnect components positioned in different dimensional planes. In addition, the design and fabrication are simple as compared to EBG structures having components positioned in different dimensional planes with vias and additional metal patch layers interconnecting the components. Standard planar printed circuit board (PCB) processes can be used to fabricate the structures of the present disclosure. For example, the systems having AI-EBG structures can be fabricated using a FR 4 process. In addition, the dielectric thickness can be thin (e.g., 1 mil about 4 mils) and thus lower costs.
The AI-EBG structures can be designed to have a stopband floor of about −40 dB to −140 dB, −50 dB to −140 dB, −60 dB to −140 dB, −80 dB to −140 dB, and −100 dB to −140 dB. In addition, the AI-EBG structure can be designed to have a bandgap that can range from about 100 MHz to 35 GHz, having widths of about 1 GHz, 2 GHz, 3 GHz, 5 GHz, 10 GHz, 20 GHz, and 30 GHz (e.g., about 500 MHz to 3 GHz, about 3 GHz to 8 GHz, and about 15 GHz to 50 GHz), depending on the stopband floor selected. Since the AI-EBG structure is tunable, the center frequency can be at a pre-selected frequency. In particular, the center frequency can be selected from a frequency from about 1 GHz to 37 GHz.
The first element 12 and the second element 14 can be various shapes. The first elements 12 illustrated in
It should be noted that the first elements 12 and the second elements 14 can also be other structures that produce sections of high and low impedance. In particular, the first elements 12 and the second elements 14 can each independently be a shape such as, but not limited to, rectangular shapes, polygonal shapes, hexagonal shapes, triangular shapes, circular shapes, or combinations thereof.
The second element 14 can be attached to the first element 12 at various positions. In
The AI-EBG plane 13 can include, but is not limited to, copper (Cu), palladium (Pd), aluminum (Al), platinum (Pt), chromium (Cr), or combinations thereof. The AI-EBG plane 13 can be, but is not limited to, any material with a conductivity (σc) between about 1.0×106 S/m and about 6.1×106 S/m. The AI-EBG plane 13 can have, but is not limited to, a thickness between about 1 mil and 100 mils.
The dielectric layer 15 can be, but is not limited to, a dielectric material with a dielectric constant having a relative permittivity (εr) of about 2.2 to about 15, and/or a dielectric loss tangent (tan (δ)) of about 0.001 to about 0.3, and combinations thereof. The dielectric layer 15 can include, but is not limited to, FR4 ceramic, and combinations thereof. In general, FR4 is used as an insulating base material for circuit boards. FR4 is made from woven glass fibers that are bonded together with an epoxy. The board is cured using a combination of temperature and pressure that causes the glass fibers to melt and bond together, thereby giving the board strength and rigidity. “FR” stands for “Flame Retardant”. FR4 is also referred to as fiberglass boards or fiberglass substrates. The dielectric layer 15 can have, but is not limited to, a thickness between about 1 mil and about 100 mils.
The solid metal plane 17 can be included in, but is not limited to, a ground plane or a power plane. The solid metal plane 17 can include, but is not limited to, Cu, Pd, Al, Pt, Cr, or combinations thereof. The solid metal plane 17 can be, but is not limited to, a material with a conductivity (σc) between about 1.0×106 S/m and about 6.1×106 S/m. The solid metal plane 17 can have, but is not limited to, a thickness between about 1 mil and 10 mils.
In general, the length and width of the AI-EBG structure 10 can vary depending on the application. The AI-EBG structure 10 can be fabricated to a length and a width to accommodate consumer and commercial electronics systems.
Using the AI-EBG structure 30 enables the structure to obtain very wide bandgap (e.g., −40 dB bandgap ranging between 500 MHz and 10 GHz). For example, the larger first elements 32b and the second elements 34 can produce a bandgap from about 500 MHz to 3 GHz (−40 dB bandgap), while smaller first elements 32a and the second elements 34 produce a bandgap from about 3 GHz to 10 GHz (−40 dB bandgap). Thus, a AI-EBG structure can produce an ultra wide bandgap. The ratio between the first element and the second elements could be, but is not limited to, from about 4 to 300.
The signal layer 42 is positioned on the top of the dielectric layer 44. The solid metal plane 46 is positioned on the bottom (back side) of the dielectric layer 44. The dielectric layer 48 is positioned on the bottom of the solid metal plane 46. The AI-EBG plane is positioned on the bottom of the dielectric layer 48.
Each layer or plane can be a ground plane or a power plane, and the selection of the type of layer or plane can be determined based, at least in part, on the product that the AI-EBG structure is incorporated into and the desired characteristics of the AI-EBG structure.
The dielectric layer, the solid metal plane, and the AI-EBG plane have been described in detail above. The signal layer 42 is a partial metal layer. The metal can include, but is not limited to, Cu, Pd, Al, Pt, Cr, or combinations thereof. The signal layer 42 includes transmission lines, which send signals from one place to the other place. By using the solid metal plane as the reference plane for the signal layer in mixed-signal systems, the stacking of structure A 40 substantially avoids signal integrity and EMI problems, while the AI-EBG plane suppresses noise.
The signal layer 62 is positioned on the top of the dielectric layer 64. The solid metal plane 66 is positioned on the bottom of the dielectric layer 64. The dielectric layer 68 is positioned on the bottom of the solid metal plane 66. The AI-EBG plane 72 is positioned on the bottom of the dielectric layer 68. The dielectric layer 74 is positioned on the bottom of the AI-EBG plane 72. The solid metal plane 76 is positioned on the bottom of the dielectric layer 74. The dielectric layer 78 is positioned on the bottom of the solid metal plane 76. The signal layer 82 is positioned on the bottom of the dielectric layer 78.
Each layer or plane can be a ground plane or a power plane, and the selection of the type of layer or plane can be determined based, at least in part, on the product that the AI-EBG structure is incorporated into and the desired characteristics of the AI-EBG structure.
The signal layer 92 is positioned on the top of the dielectric layer 94. The solid metal plane 96 is positioned on the bottom of the dielectric layer 94. The dielectric layer 98 is positioned on the bottom of the solid metal plane 96. The AI-EBG plane 102 is positioned on the bottom of the dielectric layer 98. The dielectric layer 104 is positioned on the bottom of the AI-EBG plane 102. The solid metal plane 106 is positioned on the bottom of the dielectric layer 104. The dielectric layer 108 is positioned on the bottom of the solid metal plane 106. The signal layer 112 is positioned on the bottom of the dielectric layer 108. The dielectric layer 114 is positioned on the bottom of the signal layer 112. The solid metal plane 116 is positioned on the bottom of the dielectric layer 114. The dielectric layer 118 is positioned on the bottom of the solid metal plane 116. The AI-EBG plane 122 is positioned on the bottom of the dielectric layer 108. The dielectric layer 124 is positioned on the bottom of the AI-EBG plane 122. The solid metal plane 126 is positioned on the bottom of the dielectric layer 124. The dielectric layer 128 is positioned on the bottom of the solid metal plane 126. The signal layer 132 is positioned on the bottom of the dielectric layer 128.
Each layer or plane can be a ground plane or a power plane, and the selection of the type of layer or plane can be determined based, at least in part, on the product that the AI-EBG structure is incorporated into and the desired characteristics of the AI-EBG structure.
In block 142, a signal layer 42 is provided. In block 144, a dielectric layer 44 is disposed on the backside of the signal layer 42. In block 146, a solid metal plane 46 is disposed on the backside of the dielectric layer 44. In block 148, a dielectric layer 48 is disposed on the backside of the solid metal plane 46. In block 152, an AI-EBG plane is disposed on the back of the dielectric layer 48.
It should be noted that ratios, amounts, and other numerical data may be expressed herein in a range format. It is to be understood that such a range format is used for convenience and brevity, and thus, should be interpreted in a flexible manner to include not only the numerical values explicitly recited as the limits of the range, but also to include all the individual numerical values or sub-ranges encompassed within that range as if each numerical value and sub-range is explicitly recited. To illustrate, a concentration range of “about 0.1% to about 5%” should be interpreted to include not only the explicitly recited concentration of about 0.1 wt % to about 5 wt %, but also include individual concentrations (e.g., 1%, 2%, 3%, and 4%) and the sub-ranges (e.g., 0.5%, 1.1%, 2.2%, 3.3%, and 4.4%) within the indicated range.
It should be emphasized that the above-described embodiments of the present disclosure are merely possible examples of implementations, merely set forth for a clear understanding of the principles of the disclosure. For example, the systems having the AI-EBG structures can be fabricated of multiple materials. Therefore, many variations and modifications may be made to the above-described embodiment(s) of the disclosure without departing substantially from the spirit and principles of the disclosure. All such modifications and variations are intended to be included herein within the scope of this disclosure and protected by the following claims.
Now having described the embodiments of the systems having the AI-EBG structures in general, example 1 describes some embodiments of the AI-EBG structure that is described in J. Choi, V. Govind, M. Swaminathan, K. Bharath, D. Chung, D. Kam, J. Kim, “Noise suppression and isolation in mixed-signal systems using alternating impedance electromagnetic bandgap (AI-EBG),” submitted to IEEE Transactions on Electromagnetic Compatibility, September 2005.
While embodiments of systems having the AI-EBG structures are described in connection with Example 1 and the corresponding text and figures, there is no intent to limit embodiments of the structures to these descriptions. On the contrary, the intent is to cover all alternatives, modifications, and equivalents included within the spirit and scope of embodiments of the present disclosure.
In this Example, a two-layer AI-EBG structure has been discussed. Along with reducing the layer count, this structure does not require any blind vias. Moreover, this structure provides better isolation level as compared to other EBG structures that have been proposed so far. In this Example, the proposed AI-EBG structure has been investigated with a mixed-signal test vehicle to quantify the isolation levels that are achievable.
Noise Coupling in Mixed-Signal Systems
With the evolution of technologies, mixed-signal system integration is becoming necessary for combining heterogeneous functions such as high-speed processors, radio frequency (RF) circuits, memory, microelectromechanical systems (MEMS), sensors, and optoelectronic devices. This kind of integration is necessary for enabling convergent Microsystems that support communication and computing capabilities in a tightly integrated module. A major bottleneck with such heterogeneous integration is the noise coupling between the dissimilar blocks constituting the system. As an example, the noise generated by high-speed digital circuits can couple through the power distribution network (PDN) and transfer to sensitive RF circuits, completely destroying the functionality of noise-sensitive RF circuits.
All these methods have two fundamental problems, namely, a) they provide poor isolation in the −20 dB to −60 dB range above 1 GHz and b) they provide narrow band capability. Hence, the development of better noise isolation methods for the integration of digital and RF functions is necessary. One method for achieving high isolation over broad frequency range is through the use of electromagnetic band gap (EBG) structures. EBG structures are periodic structures that suppress wave propagation in certain frequency bands while allowing it in others. For power delivery network, EBG structures can be constructed by patterning one of the power and ground planes. In this Example, a novel EBG structure based on the alternating impedance (AI-EBG) concept is discussed for use in power delivery networks.
Design of AI-EBG Structure
The AI-EBG structure is a metallo-dielectric EBG structure that includes two metal layers separated by a thin dielectric material, as shown in
This EBG structure can be realized with metal patches etched in the power plane (or in the ground plane depending on design) connected by metal branches to form a distributed LC network (where L is inductance and C is capacitance). In this structure, a metal branch introduces additional inductance while the metal patch and the corresponding solid plane form the capacitance. The unit cell of this EBG structure is shown in
The EBG structure formed in
Equivalent Circuit Representation of AI-EBG Structure
The EBG structure presented in this Example can be called as the alternating impedance EBG (AI-EBG) since it includes alternating sections of high and low characteristic impedances, as shown in
where η is intrinsic impedance of the dielectric, d is the dielectric thickness, w is the width of the metal, L and C are inductance and capacitance per unit length. Since wpatch>wbranch and characteristic impedances are inversely proportional to w, Zo of the metal patch is lower than Zo of the metal branch. Due to this impedance perturbation, wave propagation can be suppressed in certain frequency bands.
The AI-EBG dispersion characteristics can also be explained using filter theory.
Propagation Characteristics of AI-EBG Structure
To understand the dispersion characteristics, the transmission line network (TLN) method has been used in this Example. The TLN approach is based on standard periodic analysis for one dimensional symmetric unit cells.
For clarity, the structure is assumed periodic along the y direction with perfect magnetic walls along the x directed boundaries. The structure is assumed infinite along y direction with wave propagation along the y axis. This enables the modeling and visualization using TLN analysis, while retaining sufficient generality to describe the unique dispersion characteristics of the AI-EBG structure.
Using the equivalent transmission line circuit in
TUnit
The first and fifth matrix in (2), TL/2, represents the equivalent series inductance due to metal branch on the edge of metal patch. The value of the series inductance is halved (L/2) to account for symmetry of the structure. The second and fourth matrix, TTL, represents the transfer matrix for a uniform section of transmission line of length d/2. The third matrix, TC, represents the equivalent shunt capacitance between the metal patch and the corresponding ground plane.
Using ABCD matrix, TUnit
where Zbranch=jωLbranch, kd=phase delay of transmission line segment, k=2πf√{square root over (με)}, d is the length of a unit cell, Ypatch=jωCpatch, Zo is the characteristic impedance of the transmission line segment, Yo is the characteristic admittance of the transmission line segment, ω is the angular frequency given by ω=2πf, f is the frequency and μ and ε are the permeability and permittivity of the dielectric material.
After some calculations, (3) becomes:
By combining the ABCD matrix of the Brillouin zone unit cell, TUnit
where γ=α+jβ is the complex propagation constant, α is the attenuation constant, and β is the phase constant.
Based on a nontrivial solution for (5), the following analytic dispersion equation for the AI-EBG structure can be obtained as:
Modeling of AI-EBG Structure
This section describes the modeling of the AI-EBG structure for extracting the S-parameters and computing voltage distributions. The full-wave EM solvers can be used to analyze EBG structures, but they are computationally expensive due to the grid size required. So, there is a need for efficient methods for modeling EBG structures with reasonable simulation time and good accuracy. The transmission matrix method (TMM) is a good candidate for analyzing the AI-EBG structure since it has been successfully applied to complex power delivery networks elsewhere. The good model to hardware correlation for a realistic PDN in packages and boards has been verified elsewhere.
Power/ground planes can be divided into unit cells, as shown in
From the lateral dimension of a unit cell (w), separation between planes (d), dielectric constant (ε), loss tangent of dielectric (tan (δ), metal thickness (t), and metal conductivity (σc), the equivalent circuit parameters of a unit cell can be computed from the following equations:
In the above equation, εo is the permittivity of free space, μo is the permittivity of free space, and εr is the relative permittivity of the dielectric. The parameter RDC is the resistance of both the power and ground planes for a steady DC current, where the planes are assumed to be of uniform cross-section. The AC resistance RAC accounts for the skin effect on both conductors. The shunt conductance Gd represents the dielectric loss in the material between planes.
In order to increase accuracy of the simulation, it is necessary to extend the basic model described above with circuit models for edge and gap effects. It is critical to model these effects to obtain accurate bandwidth and isolation levels in S parameter simulation. Edge effects can be modeled by adding an LC network to all the edges of the AI-EBG structure to model the fringing fields. The total capacitance (CT) including fringing capacitance (Cf) for the edge cells of the AI-EBG structure can be calculated by employing the empirical formula for the per unit length capacitance of a microstrip line given by:
constant, W is the metal line width, d is the dielectric thickness and t is the metal thickness. In (8), the first term is for the parallel-plate capacitance, and the other three terms in (8) accounts for fringing capacitance. In order to maintain a physical phase velocity, the per unit length inductance must be reduced from the parallel-plate inductance in accordance with
√{square root over (LC)}=√{square root over (με)}. (9)
This reduction is accomplished by adding an inductance between two adjacent nodes on the edge of the AI-EBG structure. Gap coupling can be modeled by including a gap capacitance, Cg, between nodes across a gap in two metal patches in the AI-EBG structure. The gap capacitance was extracted from a 2-D solver such as Ansoft Maxwell™. For example, the gap capacitance per unit length extracted from Ansoft Maxwell™ for the AI-EBG structure in
The test structure used was a two metal layer board with size 9.5 cm by 4.7 cm in size. In this example, the size of the metal patch was 1.5 cm×1.5 cm and the size of the metal branch was 0.1 cm×0.1 cm. The dielectric material of the board was FR4 with a relative permittivity, εr=4.4, the conductor was copper with conductivity, σc=5.8×107 S/m, and dielectric loss tangent was tan (δ)=0.02. The copper thickness for power plane and ground plane was 35 μm and dielectric thickness was 2 mils. A unit cell size of 0.1 cm×0.1 cm, which corresponds to an electrical size of λ/14.3 at 10 GHz, was used for approximating the structure. Port 1 was placed at (0.1 cm, 2.4 cm) and port 2 was located at (9.4 cm, 2.4 cm) with the origin (0 cm, 0 cm) lying at the bottom left corner of the structure, as shown in
TMM was also used to obtain voltage variation on the AI-EBG structure in
Model to Hardware Correlation
To verify the simulated results, the AI-EBG structures discussed in this Example were fabricated using standard PCB processes.
The S-parameter measurements were carried out using an Agilent 8720 ES vector network analyzer (VNA).
Noise Suppression and Isolation in Mixed-Signal System
In this section, the design, fabrication, and measurement of mixed-signal systems containing the AI-EBG structure in the power delivery network has been demonstrated. The results have been compared to a similar system with a regular power delivery network.
Design and Fabrication: To verify the use of the AI-EBG based scheme for mixed-signal noise suppression, a test vehicle containing an FPGA driving a 300 MHz bus with an integrated low noise amplifier (LNA) operating at 2.13 GHz was designed and fabricated on an FR4 based substrate.
Measurements:
In the measurements, the FPGA was programmed as four switching drivers using Xilinx software. The input terminal of the LNA was grounded to detect only noise from the FPGA through the PDN. The output terminal of the LNA was connected to a HP E4407B spectrum analyzer to observe noise from the FPGA.
Signal Integrity Analysis
The power delivery network needs to function along with the signal lines for high-speed transmission. Since the power and ground planes carry the return currents for the signal transmission lines, the impact of AI-EBG structure in signal transmission needs to be analyzed, which is the focus of this section.
Time Domain Waveforms: Since the AI-EBG plane (i.e., the plane with the AI-EBG pattern) is used as a reference plane for signal lines in the stack-up shown in
To better understand signal quality, signal waveforms at the output of the FPGA and the far end of the transmission line were measured. These two locations are shown in
To investigate this phenomena, time domain reflectometry (TDR) measurements were performed to measure the characteristic impedance of the transmission line. In the TDR measurements, an injected voltage pulse propagates down the signal line, reflects off the discontinuity, and then returns to form a pulse on the oscilloscope.
Design Methodology: Since the AI-EBG plane is used as a reference plane for signal lines, it can cause signal integrity problems. The best solution for avoiding this signal integrity problem is to use a solid plane as a reference plane, rather than the AI-EBG plane. For example, in
To prevent possible signal integrity as well as EMI problems, the plane stack-up in
Far Field Radiation Analysis: Three test vehicles were designed and fabricated for far field radiation analysis. The first test vehicle is a microstrip line on a solid plane, the second test vehicle is a microstrip line on an AI-EBG structure, and the third test vehicle is a microstrip line on an embedded AI-EBG structure. The third test vehicle was designed to suppress noise in mixed-signal systems without any EMI problems. This is possible since the solid plane was used as a reference plane for the microstrip line in this embedded AI-EBG structure. In
The far field simulation was performed using SONNET™ for the three test vehicles. In this simulation, surface radiation from the surface of the test vehicles was investigated by changing the degrees (phi=0°˜180° at every 10° intervals and theta=−90°˜90° at every 10° intervals).
To verify the simulation results, far field measurements were done for the test vehicles. The far field measurements were carried out using an Anritsu MG3642A RF signal generator (BW: 125 kHz˜2,080 MHz), an Agilent E4440A spectrum analyzer (BW: 3 kHz˜26.5 GHz, Res. BW=Video BW=3 MHz), and an antenna in an anechoic chamber.
Conclusion
In this Example, an efficient method for noise suppression and isolation in mixed-signal systems using a novel EBG structure, called an AI-EBG structure, has been described. The AI-EBG structure has been developed to suppress unwanted noise coupling in mixed-signal systems, and this AI-EBG structure showed excellent isolation (−80 dB to −140 dB) in the stopband. This results in noise coupling free environment in mixed-signal systems. Moreover, the AI-EBG structure has the advantage of being simple and can be designed and fabricated using standard printed circuit board (PCB) processes without the need for additional metal layer and blind vias. The excellent noise suppression in mixed-signal systems with the AI-EBG structure has been demonstrated through measurements, which make the AI-EBG structure a promising candidate for noise suppression and isolation in mixed-signal systems. Signal integrity analysis for the mixed-signal system with the AI-EBG structure has been described, and design methodology has been suggested for avoiding signal integrity and EMI problems. The AI-EBG structure can be made part of power distribution networks (PDN) in mixed-signal systems and is expected to have a significant impact in noise suppression and isolation in mixed-signal systems, especially at high frequencies.
This application claims priority to and is a continuation-in-part of copending U.S. utility application entitled, “An Electromagnetic Bandgap Structure For Isolation In Mixed-Signal Systems,” having Ser. No. 10/936,774, filed Sep. 8, 2004, which is entirely incorporated herein by reference. This application claims priority to co-pending U.S. provisional application entitled “Design Methodologies In Mixed-Signal Systems With Alternating Impedance Electromagnetic Bandgap (AI-EBG) Structure” having Ser. No. 60/679,540, filed on May 10, 2005, which is entirely incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
5923225 | De Los Santos | Jul 1999 | A |
6538621 | Sievenpiper et al. | Mar 2003 | B1 |
6967282 | Tonomura et al. | Nov 2005 | B2 |
7030463 | Subramanyam et al. | Apr 2006 | B1 |
7042419 | Werner et al. | May 2006 | B2 |
20040140945 | Werner et al. | Jul 2004 | A1 |
20040239451 | Ramprasad et al. | Dec 2004 | A1 |
Number | Date | Country | |
---|---|---|---|
20060092093 A1 | May 2006 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 10936774 | Sep 2004 | US |
Child | 11260952 | US |