Multi-frequency GNSS receiver baseband DSP

Information

  • Patent Grant
  • 8334804
  • Patent Number
    8,334,804
  • Date Filed
    Tuesday, September 7, 2010
    14 years ago
  • Date Issued
    Tuesday, December 18, 2012
    11 years ago
Abstract
A dual-frequency DSP correlator receives I and Q signal components from a down convertor in a GNSS receiver system. The signal components are cross-wiped (de-spread) for noise cancellation and can be combined for use in a processor.
Description
BACKGROUND OF THE INVENTION

1. The Field of the Invention


The present invention relates generally to global navigation satellite system (GNSS) receiver technology, and in particular to a cross-wiping baseband digital signal processing (DSP) component for a multi-frequency GNSS receiver.


2. GNSS Background


Global navigation satellite systems (GNSS) include the Global Positioning System (GPS), which was established by the United States government and employs a constellation of 24 or more satellites in well-defined orbits at an altitude of approximately 26,500 km. These satellites are positioned in six different orbital planes such that at any time a minimum of six and a maximum of eleven satellites are visible to any user on the surface of the Earth, except in the Polar Regions. The satellites operate in nearly circular orbits at an inclination angle of 55 degrees and with approximately a 12-hour period. Each satellite contains at least one atomic clock and transmits a navigation message that contains an accurate system time and its orbital position referenced to the atomic clock. The navigation message also contains clock behavior, status messages, and correction data such as ionospheric delay, time offset, etc. An almanac that gives the approximate data for each active satellite is also provided.


These satellites continually transmit microwave L-band radio signals in two frequency bands, centered at 1575.42 MHz and 1227.60 MHz, denoted as L1 and L2 respectively. These signals include timing patterns relative to the satellite's onboard precision clock (which is kept synchronized by a ground station) as well as a navigation message giving the precise orbital positions of the satellites. GPS receivers process the radio signals, computing ranges to the GPS satellites, and by triangulating these ranges, the GPS receiver determines its position and its internal clock error. Different levels of accuracy can be achieved depending on the techniques employed.


GNSS also includes Galileo (Europe), the Global'naya Navigatsionnaya Sputnikovaya Sistema (GLONASS, Russia), Beidou (China), Compass (proposed), the Indian Regional Navigational Satellite System (IRNSS) and QZSS (Japan, proposed).


To gain a better understanding of the accuracy levels achievable by using GNSS, it is necessary to understand the two types of signals available from the GNSS satellites. The first type of signal includes both the coarse acquisition (C/A) code, which modulates the L1 radio signal, and the precision (P) code, which modulates both the L1 and L2 radio signals. These are pseudorandom digital codes that provide a known pattern that can be compared to the receiver's version of that pattern. By measuring the time-shift required to align the pseudorandom digital codes, the GNSS receiver is able to compute an unambiguous pseudo-range to the satellite. Both the C/A and P codes have a relatively long “wavelength,” of about 300 meters (1 microsecond) and 30 meters ( 1/10 microsecond), respectively. Consequently, use of the C/A code and the P code yield position data only at a relatively coarse level of resolution.


The second type of signal utilized for position determination is the carrier signal. The term “carrier,” as used herein, refers to the dominant spectral component which remains in the radio signal after the spectral content caused by the modulated pseudorandom digital codes (C/A and P) is removed. The L1 and L2 carrier signals have wavelengths of about 19 and 24 centimeters, respectively. The GNSS receiver is able to “track” these carrier signals, and in doing so, make measurements of the carrier phase to a small fraction of a complete wavelength, permitting range measurement to an accuracy of less than a centimeter.


In stand-alone GNSS systems that determine a receiver's position coordinates without reference to a nearby reference receiver, the process of position determination is subject to errors from a number of sources. These include errors in the satellite's clock reference, the location of the orbiting satellite, ionospheric-induced propagation delay errors, and tropospheric refraction errors. A more detailed discussion of these sources of error is provided in U.S. Pat. No. 5,828,336 by Yunck, et al. Multiple GNSS tracking devices can be synchronized in a geo-location system using the system and method disclosed in Miller, Badke and Whitehead U.S. Pat. No. 7,292,186, which is assigned to a common assignee and is incorporated herein by reference.


To overcome the errors of stand-alone GNSS, many kinematic positioning applications make use of multiple GNSS receivers. A reference receiver located at a reference site having known coordinates receives the satellite signals simultaneously with the receipt of signals by a remote receiver. Depending on the separation distance, many of the errors mentioned above will affect the satellite signals equally for the two receivers. By taking the difference between signals received both at the reference site and at the remote location, these errors are effectively eliminated. This facilitates an accurate determination of the remote receiver's coordinates relative to the reference receiver's coordinates. The technique of differencing signals is known in the art as differential GNSS (DGNSS). The combination of DGNSS with precise measurements of carrier phase leads to position accuracies of less than one centimeter root-mean-squared (centimeter-level positioning). When DGNSS positioning utilizing carrier phase is done in real-time while the remote receiver is potentially in motion, it is often referred to as Real-Time Kinematic (RTK) positioning.


One of the difficulties in performing RTK positioning using carrier signals is the existence of an inherent ambiguity that arises because each cycle of the carrier signal looks exactly alike. Therefore, a range measurement based upon carrier phase has an ambiguity equivalent to an integral number of carrier signal wavelengths. Various techniques are used to resolve the ambiguity, often with some form of double-differencing. The prior art related to this includes U.S. Pat. No. 4,170,776 by MacDoran, U.S. Pat. No. 4,667,203 by Counselman, U.S. Pat. No. 4,963,889 by Hatch, U.S. Pat. No. 5,296,861 by Knight, and U.S. Pat. No. 5,519,620 by Talbot et al. Once ambiguities are solved, however, the receiver continues to apply a constant ambiguity correction to a carrier measurement until loss of lock on that carrier signal. Regardless of the technique employed, the problem of solving integer ambiguities, in real-time, is always faster and more robust if there are more measurements upon which to discriminate the true integer ambiguities. Robust means that there is less chance of choosing an incorrect set of ambiguities. The degree to which the carrier measurements collectively agree to a common location of the GNSS receiver is used as a discriminator in choosing the correct set of ambiguities. The more carrier phase measurements that are available, the more likely it is that the best measure of agreement will correspond to the true (relative to the reference GNSS) position of the remote GNSS receiver.


One method, which effectively gives more measurements, is to use dual frequency (DF) receivers for tracking delta-range measurements from P code modulation on the L1 and L2 carriers simultaneously with the L1 C/A code generating code phase measurements. The L1 and L2 carriers are modulated with codes that leave the GNSS satellite at the same time. Since the ionosphere produces different delays for radio carriers of different frequencies, such dual frequency receivers can be used to obtain real-time measurements of ionospheric delays at various receiver positions. The L1 and L2 ranging measurements are combined to create a new L1 ranging measurement that has an ionospheric delay of the same sign as the ionosphere delay in the L1 pseudorange. Accurate ionospheric delay information, when used in a position solution, can help produce more accuracy. Absent such real-time ionospheric delay measurements, other correction techniques are commonly used, such as differential GNSS (DGNSS), proprietary third party satellite augmentation system (SAS) services available on a paid subscription basis, the U.S.-sponsored Wide Area Augmentation System (WAAS) and local area augmentation systems (LAASs).


As compared to single-frequency (typically L1) receiver systems, previous dual-frequency receiver systems have tended to be relatively expensive because of their additional components for accommodating L2 measurements. Moreover, the additional components tended to consume more power and required additional space. Still further, dual-frequency receivers should be adaptable for use with all present and projected GNSS, which cover a “superband” of radio signal frequencies generally in the range of about 1.2 to 1.7 GHz. Accordingly, a preferred broadband DSP for a multi-frequency receiver should be: a single, application-specific integrated circuit (ASIC); programmable for various frequencies; adapted for cross-wiping the multiple output signal components; minimally-sized; and capable of operating with minimal power.


SUMMARY OF THE INVENTION

In the practice of an aspect of the present invention, a baseband digital signal processor (DSP) is provided for a multi-frequency GNSS receiver system. The multiple outputs (corresponding to multiple frequencies) of the down converter are cross-wiped by cross-correlating signal components, e.g. I (real) and Q (imaginary) in a quadrature configuration, thereby canceling noise. Various present and future GNSS protocols can thus be accommodated.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a diagram of a multi-frequency GNSS receiver system with a baseband DSP cross-wiping correlator embodying an aspect of the present invention;



FIG. 2 is a signal rotation diagram for L1 and L2 signals in a dual frequency, complex, quadrature system for GPS L1/L2;



FIGS. 3
a-b show a schematic diagram of the components of a portion of the system;



FIG. 4
a is a block diagram of the cross-wiping signal combiner;



FIG. 4
b is a schematic diagram showing an analog aspect of the cross-wiping signal combiner;



FIG. 4
c is a schematic diagram showing a digital aspect of the cross-wiping signal combiner; and



FIG. 5 is a schematic diagram showing a dual-frequency, real signal component aspect of the present invention, including two antennas for vector attitude solutions.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

I. Introduction and Environment


As required, detailed embodiments of the present invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention, which may be embodied in various forms. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present invention in virtually any appropriately detailed structure.


Certain terminology will be used in the following description for convenience in reference only and will not be limiting. For example, up, down, front, back, right and left refer to the invention as oriented in the view being referred to. The words “inwardly” and “outwardly” refer to directions toward and away from, respectively, the geometric center of the embodiment being described and designated parts thereof. Said terminology will include the words specifically mentioned, derivatives thereof and words of similar meaning.


Global navigation satellite systems (GNSSs) are broadly defined to include the Global Positioning System (GPS, U.S.), Galileo (proposed, Europe), GLONASS (Russia), Beidou (China), Compass (proposed), the Indian Regional Navigational Satellite System (IRNSS), QZSS (Japan, proposed) and other current and future positioning technology using signals from satellites, with or without augmentation from terrestrial sources.


The following table provides an example of GNSS frequency superband channel allocations, which could be implemented with a GNSS receiver system 4 including a cross-correlating baseband DSP 15 embodying an aspect of the present invention:









TABLE 1







System Center Frequencies and Bandwidth Requirements












Fcenter
Bandwidth


ID
System
(MHz)
(MHz)













1
GPS(L1CA)
1575.42
24.0


2
GPS(L1C)
1575.42
24.0


2
GPS(L1P)
1575.42
24.0


3
GPS(L2P)
1227.6
24.0


4
GPS(L2C)
1227.6
24.0


5
GPS(L5)
1176.45
24.0


6
GLONASS(L1)
1602.0
16


7
GLONASS(L2)
1246.0
16


8
Galileo(E1)
1575.42
24.0


9
Galileo(E5a)
1176.45
24.0


10 
Galileo(E5ab)
1191.795
51.15









Without limitation on the generality of useful applications of the broadband DSP 15, a dual-frequency GNSS receiver system designated 4 is shown in FIG. 1 as an example of an application in which the present invention can be utilized. Such GNSS receiver systems can be employed in a wide range of useful applications, such as navigation, guidance and machine control in various industries, including precision farming, crop dusting, marine navigation, shipping, transportation, mining and manufacturing.


The receiver system 4 includes an antenna subsystem 6, which preferably comprises an array of active antennas (A0-AL-1) 8 connected to low noise amplifiers (LNAs) 9, although passive antennas could also be employed and tuned to specific GNSS frequencies, such as L1, L2, L5, etc. The antenna subsystem 6 produces GNSS signals, which are input to a radio frequency, down converter analog, application-specific integrated circuit (RF DCA ASIC, or ASIC) 10 with multi-frequency down conversion, which is the subject of U.S. patent application Ser. No. 12/635,527, which is incorporated herein by reference. The down converter ASIC 10 can be configured with multiple frequency channel DCAs 11 (e.g., L1, L2 . . . Lm, Ln) driven by a common local oscillator/synthesizer (LO/Synth) and synchronized ADC clocks. The analog output of the DCAs 11 is digitized in ADCs 12. Alternatively, the analog down converter ASIC 10 can be eliminated and replaced by an ADC system with technology used in connection with software-defined radios (SDRs).


External matching components, including bandwidth filters, maximize performance and accommodate frequencies in the superband for compatibility with all GNSS, including various combinations of ranging signal frequencies.


In addition to accommodating multiple frequencies, the ASIC 10 can separate the real (I) and imaginary (Q) parts of signals into corresponding outputs such as L1X and L1Y respectively, which are derived from L1 frequency GNSS signals.


The output of the analog ASIC 10 provides input to a digital ASIC 13, which can also comprise an application-specific integrated circuit comprising multiple down converter digital (DCD) components 14. As shown, the DCDs 14 convert incoming signals into L1XC (cosin) and L1XS (sin) components. For example, L1XC can comprise the coarse acquisition (CA) L1 signal and L1XS can comprise the precision L1 signal. The ASICs 10, 13 could be combined onto a single ASIC or, conversely, their components could be separated into multiple individual ICs.


The output of the digital ASIC 13 is received by a cross-correlating baseband digital signal processor (DSP) despreader/combiner 15, including individual despreader/combiner components 16, which provide input to a GNSS solution processor 17 including tracking channels 18 (e.g., 0-(n−1)). The solution processor 17 can be connected to other components, such as graphical user interfaces (GUI), autosteering, etc. Still further, satellite augmentation systems (SAS) of various types, including free services such as the Wide Area Augmentation System (WAAS) and paid subscription services such as Omnistar can be used for enhancing the accuracy of the system 4 by providing GNSS correction signals.


The receiver system 4 can utilize direct sequence spread spectrum (DSSS), which is a modulation technique where a pseudorandom noise sequence directly phase modulates a data-modulated carrier. The DSSS signal has a noise-like spectrum. For example, each GPS satellite transmits on two L-band frequencies: L1=1575.42 MHz and L2=1227.60 MHz. Three sets of pseudorandom noise (PRN) ranging codes are in use: the L1 coarse/acquisition (L1C/A) code, the L1 precision (L1P) code and the L2P code. The C/A code set, also known as the “Gold Code,” has a 1.023 MHz chip rate, with “chip” referring to a single bit of a pseudorandom sequence (PRN-sequence) and the term “chip rate” referring to the rate at which bits of PRN-sequences are shifted. The Gold Code therefore has a length of 1023. The term “code” refers to the binary bit stream (the pseudorandom sequence) used to spread a signal over a wide range of frequencies for transmission. This spreading improves the accuracy of position estimation. Other advantages include interference rejection and low spectral power density, i.e. the power level at a given frequency.



FIG. 2 shows a dual-frequency complex (quadrature) signal diagram for the L1 and L2 planes. L1Xn, L1Yn and L2Xn, L2Yn represent the L1, L2 analog signals respectively from the analog down converter ASIC 10. Other signal configurations, such as dual frequency real (FIG. 5), can also be cross-wiped using the DSP of the present invention. These signals are multiplied by sin and cosine terms in the digital domain ASIC 13 to obtain the digital truth terms L1I, L1CA (X-axis) and L1Q, L1P (Y-axis) in the L1 plane. In the L2 plane the corresponding digital truth terms are L2I, L2C (X-axis) and L2Q, L2P (Y-axis). In both cases the angle θ represents an angle of rotation for phase coherency in the digital domain.



FIG. 3
a shows a schematic diagram of dual frequency complex sampling analogue and digital ASICs 10, 13 respectively, the output of which provides input to the DSP despreader/combiner 15, as shown in FIG. 3b. The analog ASIC 10 produces an estimate of the rotation (FIG. 2) for the quadrature split. The analog ASIC 10 includes filters 20 connected to the antennas 6 and providing output to mixers 22, wherein signals are rotated 90°. Filters 24 receive the output from the mixers 22 and are connected to automatic gain control (AGC) op amps 26, which in turn are connected to analog-to-digital converters (ADCs) 28, from which digitized signals L1Xn, L1Yn, L2Xn, L2Yn are output from the analog ASIC 10 to mixers 29 in the digital ASIC 13, which receive cosin (C) and sin(S) inputs, resulting in outputs L1XCn, L1XSn, L1YSn, L1YCn, L2XCn, L2XSn, L2YSn and L2YCn, from FIG. 3a to FIG. 3b as shown.


In the DSP despreader/combiner 15 the input signals are input to mixers 30 wherein signals from P code generators 32 strip out the P code. The signals are input to summers 34 and the sin components are then input to a quantizer 36 including summers 38, which are connected to automatic gain controllers (AGCs) 40. The cosin signal components are input to mixers 42, which output combined signals to output summers 44.



FIG. 4
a shows a general-case application of the DSP despreader/combiner 15 for a GNSS system including a master antenna 46 and a slave antenna 48, which can be associated with, for example: L1/L2; L1/L2/L5; Lm/Ln; etc. From the RF down converters 10/13, the I and Q signal components are input to the DSP despreader/combiner 15 from which I and Q outputs are combined in a summer 50.



FIG. 4
b shows a GNSS receiver system 104 comprising an analog alternative aspect of the present invention with discrete RF front end components comprising master and slave antennas 106, 108 connected to master and slave analog units 110, 112, each of which provides I and Q signal components as inputs to a cross-wiping signal combiner 115. The present invention encompasses various combinations of components comprising either discrete components or integrated circuits (ICs), such as the RF front end ASICs described herein.


The analog embodiment cross-wiping signal combiner 115 includes I, Q adders 116, 118 respectively, and mixers 120, 122. The combiner 115 de-spreads high and low frequency signals from the dual frequency RF ASICs 110, 112, the signals of which correspond to L1 and L2 respectively in an exemplary GPS application. These signals are de-spread to the original data bandwidth by correlating them with locally generated PRN-sequences identical to and in synchronization with the PRN-sequences used to spread the carriers at the radio transmitter, e.g., a GPS satellite vehicle (SV). This de-spreading occurs after the signal received at the antennas 106, 108 has been amplified and down-converted by the DCAs 110, 112 to a suitable carrier frequency, also known as the intermediate frequency (IF). The hardware section associated with the amplification, down-conversion, and analog-to-digital conversion (ADC) is designated the radio frequency (RF) stage (i.e. down convertor analog (DCA) ASICs 110, 112 in FIG. 4b). The combiner 15, which processes the RF stage output, and the solution processor 17, which generates the position, velocity, and time information (FIG. 1), are collectively referred to as the baseband (BB) stage.


The sampling rate at the baseband stage can be any multiple of the PRN code rate. A minimum of two samples per chip (bit) is needed for real domain sampling, but only one sample per chip (bit) is needed for quadrature signal sampling. For real sampling, the minimum sampling rate could therefore be 2.046 MHz. The sampled signals are then made available in two channels, one in-phase (I) and the other in-quadrature (Q). The resulting signals are then correlated, i.e. combined, with the locally generated PRN codes. The local code generators are driven by code numerically controlled oscillators (NCOs). The results of the correlations are input to the GNSS solution processor 17 (FIG. 1) and further processed to determine the code and carrier phase offsets. The processor 17 outputs control signals to the code NCOs and the carrier NCOs so that they are in alignment with the input (sampled) signals. When the incoming signals are aligned with the locally generated PRN codes and the carriers, the data bits in the signals can be extracted. The extracted data are used in computing the satellite position and hence the receiver's position, velocity, etc.


The intermediate frequency (IF) inputs from the high (e.g., L1) and low (e.g., L2) sides of the DCA ASICs 110, 112 (FIG. 4b) are multiplied with the local direct digital frequency synthesizer (DDFS) frequency in-phase, which generates the in-phase component I. In another path, the same input is multiplied by the DDFS frequency with a phase shift of 90°, the signal product of which is the quadrature component Q. The DDFS is driven by a carrier numerically controlled oscillator (NCO), which receives the phase and frequency corrections from an outside processor, such as the solution processor 17. Because of this correction, the DDFS frequency and phase are almost the same as those of the IF input. Therefore, the I and Q outputs of the I and Q mixers 120, 122 are stripped or wiped off from the carrier (IF) and the I and Q signals may be subsequently filtered with a low pass filter to remove the high-frequency components. The I and Q signals are then correlated with the PRN-sequences locally generated by the PRN code generators.


The PRN-sequences correspond to the channels/frequencies being processed by the combiner (correlator) 15/115. The PRN-sequence generator frequencies are made equal to the code rates of the I and Q signal components with corrective feedback from the processor 17 to the code NCOs. The code NCOs can also generate other sampling frequencies as needed by the combiner 15/115. The correlation outputs are then sent to the position solution processor 17 (FIG. 1) for further processing of GPS-based position solutions, speed, travel direction, etc. The solution processor 17 can include memory devices for storing information intermediate the components of the systems 4, 104.


It will be appreciated that respective I and Q components of the dual frequencies are input to the adders 116, 118, which add the respective components for I and Q signal outputs, which are input to the mixers 120, 122, which receive the other of the I and Q outputs of the DCA ASICs 110, 112 (FIG. 4b). Hence the dual/multi-frequency correlator performs a “cross-wiping” or de-spreading function on the I and Q signal components for both frequencies. The resulting correlator 15/115 output signals A and B are input to the position solution processor 17 (FIG. 1).



FIG. 4
c shows another GNSS receiver system 204 comprising a digital alternative aspect of the present invention with discrete RF front end components comprising master and slave antennas 206, 208 connected to master and slave real RF down converter units 210, 212, each of which provides I and Q signal components as inputs to a cross-wiping signal combiner or correlator 215.


The digital embodiment cross-wiping signal combiner 215 includes I, Q mixers 220, 222 and digital tuners 224, 226. The combiner 215 de-spreads high and low frequency signals from the dual frequency RF ASICs 210, 212, the signals of which correspond to L1 and L2 respectively in an exemplary GPS application. These signals are de-spread to the original data bandwidth by correlating them with locally generated PRN-sequences identical to and in synchronization with the PRN-sequences used to spread the carriers at the radio transmitter, e.g., a GPS satellite vehicle (SV). This de-spreading occurs after the signal received at the antennas 206, 208 has been amplified and down-converted by the DCAs 210, 212 to a suitable carrier frequency, also known as the intermediate frequency (IF). The hardware section associated with the amplification, down-conversion, and analog-to-digital conversion (ADC) is designated the radio frequency (RF) stage (i.e. down convertor analog (DCA) ASICs 210, 212 in FIG. 4c).


Respective I and Q components of the dual frequencies are input to the adders 228, 230, which add the respective components for I and Q signal outputs, which are input to the mixers 232, 234, which receive the other of the I and Q outputs of the DCA ASICs 210, 212 (FIG. 4c). Hence the dual/multi-frequency correlator performs a “cross-wiping” or de-spreading function on the I and Q signal components for both frequencies. The resulting correlator 15/115 output signals A and B are input to the position solution processor 17 (FIG. 1).



FIG. 5 shows a dual frequency real sampling GNSS receiver system 304 comprising yet another aspect of the present invention and including antennas 306, 308 connected to down converters 310, 312, which provide outputs to ADCs 314. A cross-wiping signal combiner or correlator 315 receives the real signal components as the output of a tuner and correlator 313. The combiner 315 includes adders 316, 318 and mixers 320, 322, all of which function similarly to the components of the combiner 115, 115 and 215 described above.


It is to be understood that the invention can be embodied in various forms, and is not to be limited to the examples discussed above. For example, additional frequencies could be accommodated with additional receiver components, and cross-wiped/de-spread according by adding the additional components for the additional frequencies to the configurations disclosed above. The correlator 12 provides significant advantages of scalability and flexibility for accommodating various GNSS signals from the multiple systems currently in place and projected. Moreover, components could be combined or separated in various combinations of ICs and discrete components as necessary for particular applications. Other components and configurations can be utilized in the practice of the present invention.

Claims
  • 1. A multi-frequency, cross-wiping global navigation satellite system (GNSS) receiver system, which comprises: first and second GNSS RF antennas with respective first and second frequencies;an analog downconverter connected to said first and second antennas and adapted for down converting analog signals therefrom;said analog downconverter having sin and cosine functions for modifying said signals from said antennas and providing digital truth terms having in-phase (I) and in-quadrature (Q) components respectively;a digital downconverter adapted for receiving said analog down converter output and providing I and Q digital signal outputs for said down converted first and second frequencies respectively;a correlator including: first and second inputs each including I and Q signal component inputs adapted for receiving the I and Q components of said first and second signals respectively;an I adder connected to said first and second I component inputs and providing a combined I component output;a Q adder connected to said first and second Q component inputs and providing a combined Q component output;a first mixer connected to said I adder output and said second Q component input and adapted for mixing said signal components and providing a first frequency correlator output; anda second mixer connected to said Q adder output and said first I component input and adapted for mixing said signal components and providing a second frequency correlator output; anda GNSS solution processor connected to and receiving said first and second frequency cross-wiped single outputs from said correlator and providing GNSS location solutions there from.
  • 2. An analog correlator for cross-wiping first and second digital signals with respective first and second frequencies and in-phase (I) and in-quadrature (Q) signal components, which correlator includes: first and second inputs each including I and Q signal component inputs adapted for receiving the I and Q components of said first and second signals respectively;an I adder connected to said first and second I component inputs and providing a combined I component output;a Q adder connected to said first and second Q component inputs and providing a combined Q component output;a first mixer connected to said I adder output and said second Q component input and adapted for mixing said signal components and providing a first frequency correlator output; anda second mixer connected to said Q adder output and said first I component input and adapted for mixing said signal components and providing a second frequency correlator output.
  • 3. A digital correlator for cross-wiping first and second digital signals with respective first and second frequencies, which correlator includes: first and second inputs adapted for receiving said first and second digital signals respectively;1st and 2nd in-phase (I) mixers connected to said 1st and 2nd inputs respectively;1st and 2nd in-quadrature (Q) mixers connected to said 1st and 2nd inputs respectively;an I adder connected to said first and second I mixers and providing a combined I component output;a Q adder connected to said first and second Q mixers and providing a combined Q component output;a first IQ mixer connected to said I adder output and said second Q mixer output and adapted for mixing said signal components and providing a first frequency correlator output; anda second IQ mixer connected to said Q adder output and said first I mixer output and adapted for mixing said signal components and providing a second frequency correlator output.
  • 4. The correlator according to claim 3 wherein said correlator signals comprise an intermediate frequency.
CROSS-REFERENCE TO RELATED APPLICATION

This application claims priority in U.S. Provisional Patent Application No. 61/240,098, filed Sep. 4, 2009, which is incorporated herein by reference.

US Referenced Citations (411)
Number Name Date Kind
3585537 Rennick et al. Jun 1971 A
3596228 Reed, Jr. et al. Jul 1971 A
3727710 Sanders et al. Apr 1973 A
3815272 Marleau Jun 1974 A
3899028 Morris et al. Aug 1975 A
3987456 Gelin Oct 1976 A
4132272 Holloway et al. Jan 1979 A
4170776 MacDoran Oct 1979 A
4180133 Collogan et al. Dec 1979 A
4398162 Nagai Aug 1983 A
4453614 Allen et al. Jun 1984 A
4529990 Brunner Jul 1985 A
4637474 Leonard Jan 1987 A
4667203 Counselman, III May 1987 A
4689556 Cedrone Aug 1987 A
4694264 Owens et al. Sep 1987 A
4710775 Coe Dec 1987 A
4714435 Stipanuk et al. Dec 1987 A
4739448 Rowe et al. Apr 1988 A
4751512 Longaker Jun 1988 A
4769700 Pryor Sep 1988 A
4785463 Janc et al. Nov 1988 A
4802545 Nystuen et al. Feb 1989 A
4812991 Hatch Mar 1989 A
4814036 Hatch Mar 1989 A
4858132 Holmquist Aug 1989 A
4864320 Munson et al. Sep 1989 A
4894662 Counselman Jan 1990 A
4916577 Dawkins Apr 1990 A
4918607 Wible Apr 1990 A
4963889 Hatch Oct 1990 A
5031704 Fleischer et al. Jul 1991 A
5100229 Lundberg et al. Mar 1992 A
5134407 Lorenz et al. Jul 1992 A
5148179 Allison Sep 1992 A
5152347 Miller Oct 1992 A
5155490 Spradley et al. Oct 1992 A
5155493 Thursby et al. Oct 1992 A
5156219 Schmidt et al. Oct 1992 A
5165109 Han et al. Nov 1992 A
5173715 Rodal et al. Dec 1992 A
5177489 Hatch Jan 1993 A
5185610 Ward et al. Feb 1993 A
5191351 Hofer et al. Mar 1993 A
5202829 Geier Apr 1993 A
5207239 Schwitalia May 1993 A
5239669 Mason et al. Aug 1993 A
5255756 Follmer et al. Oct 1993 A
5268695 Dentinger et al. Dec 1993 A
5293170 Lorenz et al. Mar 1994 A
5294970 Dornbusch et al. Mar 1994 A
5296861 Knight Mar 1994 A
5311149 Wagner et al. May 1994 A
5323322 Mueller et al. Jun 1994 A
5334987 Teach Aug 1994 A
5343209 Sennott et al. Aug 1994 A
5345245 Ishikawa et al. Sep 1994 A
5359332 Allison et al. Oct 1994 A
5361212 Class et al. Nov 1994 A
5365447 Dennis Nov 1994 A
5369589 Steiner Nov 1994 A
5375059 Kyrtsos et al. Dec 1994 A
5390124 Kyrtsos Feb 1995 A
5390125 Sennott et al. Feb 1995 A
5390207 Fenton et al. Feb 1995 A
5416712 Geier et al. May 1995 A
5442363 Remondi Aug 1995 A
5444453 Lalezari Aug 1995 A
5451964 Babu Sep 1995 A
5467282 Dennis Nov 1995 A
5471217 Hatch et al. Nov 1995 A
5476147 Fixemer Dec 1995 A
5477228 Tiwari et al. Dec 1995 A
5477458 Loomis Dec 1995 A
5490073 Kyrtsos Feb 1996 A
5491636 Robertson Feb 1996 A
5495257 Loomis Feb 1996 A
5504482 Schreder Apr 1996 A
5511623 Frasier Apr 1996 A
5519620 Talbot et al. May 1996 A
5521610 Rodal May 1996 A
5523761 Gildea Jun 1996 A
5534875 Diefes et al. Jul 1996 A
5543804 Buchler et al. Aug 1996 A
5546093 Gudat et al. Aug 1996 A
5548293 Cohen et al. Aug 1996 A
5561432 Knight Oct 1996 A
5563786 Torii Oct 1996 A
5568152 Janky et al. Oct 1996 A
5568162 Samsel et al. Oct 1996 A
5583513 Cohen Dec 1996 A
5589835 Gildea et al. Dec 1996 A
5592382 Colley Jan 1997 A
5596328 Stangeland et al. Jan 1997 A
5600670 Turney Feb 1997 A
5604506 Rodal Feb 1997 A
5608393 Hartman Mar 1997 A
5610522 Locatelli et al. Mar 1997 A
5610616 Vallot et al. Mar 1997 A
5610845 Slabinski Mar 1997 A
5612883 Shaffer et al. Mar 1997 A
5615116 Gudat et al. Mar 1997 A
5617100 Akiyoshi et al. Apr 1997 A
5617317 Ignagni Apr 1997 A
5621646 Enge et al. Apr 1997 A
5638077 Martin Jun 1997 A
5644139 Allen et al. Jul 1997 A
5664632 Frasier Sep 1997 A
5673491 Brenna et al. Oct 1997 A
5680140 Loomis Oct 1997 A
5684696 Rao et al. Nov 1997 A
5706015 Chen et al. Jan 1998 A
5717593 Gvili Feb 1998 A
5725230 Walkup Mar 1998 A
5731786 Abraham et al. Mar 1998 A
5739785 Allison et al. Apr 1998 A
5757316 Buchler May 1998 A
5765123 Nimura et al. Jun 1998 A
5777578 Chang et al. Jul 1998 A
5810095 Orbach et al. Sep 1998 A
5828336 Yunck et al. Oct 1998 A
5838562 Gudat et al. Nov 1998 A
5854987 Sekine et al. Dec 1998 A
5862501 Talbot et al. Jan 1999 A
5864315 Welles et al. Jan 1999 A
5864318 Cosenza et al. Jan 1999 A
5875408 Bendett et al. Feb 1999 A
5877725 Kalafus Mar 1999 A
5890091 Talbot et al. Mar 1999 A
5899957 Loomis May 1999 A
5906645 Kagawa et al. May 1999 A
5912798 Chu Jun 1999 A
5914685 Kozlov et al. Jun 1999 A
5917448 Mickelson Jun 1999 A
5918558 Susag Jul 1999 A
5919242 Greatline et al. Jul 1999 A
5923270 Sampo et al. Jul 1999 A
5926079 Heine et al. Jul 1999 A
5927603 McNabb Jul 1999 A
5928309 Korver et al. Jul 1999 A
5929721 Munn et al. Jul 1999 A
5933110 Tang Aug 1999 A
5935183 Sahm et al. Aug 1999 A
5936573 Smith Aug 1999 A
5940026 Popeck Aug 1999 A
5941317 Mansur Aug 1999 A
5943008 Van Dusseldorp Aug 1999 A
5944770 Enge et al. Aug 1999 A
5945917 Harry Aug 1999 A
5949371 Nichols Sep 1999 A
5955973 Anderson Sep 1999 A
5956250 Gudat et al. Sep 1999 A
5969670 Kalafus et al. Oct 1999 A
5987383 Keller et al. Nov 1999 A
6014101 Loomis Jan 2000 A
6014608 Seo Jan 2000 A
6018313 Engelmayer et al. Jan 2000 A
6023239 Kovach Feb 2000 A
6052647 Parkinson et al. Apr 2000 A
6055477 McBurney et al. Apr 2000 A
6057800 Yang et al. May 2000 A
6061390 Meehan et al. May 2000 A
6061632 Dreier May 2000 A
6062317 Gharsalli May 2000 A
6069583 Silvestrin et al. May 2000 A
6076612 Carr et al. Jun 2000 A
6081171 Ella Jun 2000 A
6100842 Dreier et al. Aug 2000 A
6104978 Harrison et al. Aug 2000 A
6122595 Varley et al. Sep 2000 A
6128574 Diekhans Oct 2000 A
6144335 Rogers Nov 2000 A
6191730 Nelson, Jr. Feb 2001 B1
6191733 Dizchavez Feb 2001 B1
6198430 Hwang et al. Mar 2001 B1
6198992 Winslow Mar 2001 B1
6199000 Keller et al. Mar 2001 B1
6205401 Pickhard et al. Mar 2001 B1
6215828 Signell et al. Apr 2001 B1
6229479 Kozlov et al. May 2001 B1
6230097 Dance et al. May 2001 B1
6233511 Berger et al. May 2001 B1
6236916 Staub et al. May 2001 B1
6236924 Motz May 2001 B1
6253160 Hanseder Jun 2001 B1
6256583 Sutton Jul 2001 B1
6259398 Riley Jul 2001 B1
6266595 Greatline et al. Jul 2001 B1
6285320 Olster et al. Sep 2001 B1
6292132 Wilson Sep 2001 B1
6307505 Green Oct 2001 B1
6313788 Wilson Nov 2001 B1
6314348 Winslow Nov 2001 B1
6325684 Knight Dec 2001 B1
6336066 Pellenc et al. Jan 2002 B1
6345231 Quincke Feb 2002 B2
6356602 Rodal et al. Mar 2002 B1
6377889 Soest Apr 2002 B1
6380888 Kucik Apr 2002 B1
6389345 Phelps May 2002 B2
6392589 Rogers et al. May 2002 B1
6397147 Whitehead May 2002 B1
6415229 Diekhans Jul 2002 B1
6418031 Archambeault Jul 2002 B1
6421003 Riley et al. Jul 2002 B1
6424915 Fukuda et al. Jul 2002 B1
6431576 Viaud et al. Aug 2002 B1
6434462 Bevly et al. Aug 2002 B1
6445983 Dickson et al. Sep 2002 B1
6445990 Manring Sep 2002 B1
6449558 Small Sep 2002 B1
6463091 Zhodzicshsky et al. Oct 2002 B1
6463374 Keller et al. Oct 2002 B1
6466871 Reisman et al. Oct 2002 B1
6469663 Whitehead et al. Oct 2002 B1
6484097 Fuchs et al. Nov 2002 B2
6501422 Nichols Dec 2002 B1
6515619 McKay, Jr. Feb 2003 B1
6516271 Upadhyaya et al. Feb 2003 B2
6539303 McClure et al. Mar 2003 B2
6542077 Joao Apr 2003 B2
6549835 Deguchi Apr 2003 B2
6553299 Keller et al. Apr 2003 B1
6553300 Ma et al. Apr 2003 B2
6553311 Ahearn et al. Apr 2003 B2
6570534 Cohen et al. May 2003 B2
6577952 Geier et al. Jun 2003 B2
6587761 Kumar Jul 2003 B2
6606542 Hauwiller et al. Aug 2003 B2
6611228 Toda et al. Aug 2003 B2
6611754 Klein Aug 2003 B2
6611755 Coffee et al. Aug 2003 B1
6622091 Perlmutter et al. Sep 2003 B2
6631394 Ronkka et al. Oct 2003 B1
6631916 Miller Oct 2003 B1
6643576 O'Connor et al. Nov 2003 B1
6646603 Dooley et al. Nov 2003 B2
6657875 Zeng et al. Dec 2003 B1
6671587 Hrovat et al. Dec 2003 B2
6686878 Lange Feb 2004 B1
6688403 Bernhardt et al. Feb 2004 B2
6703973 Nichols Mar 2004 B1
6711501 McClure et al. Mar 2004 B2
6721638 Zeitler Apr 2004 B2
6732024 Wilhelm Rekow et al. May 2004 B2
6744404 Whitehead et al. Jun 2004 B1
6754584 Pinto et al. Jun 2004 B2
6774843 Takahashi Aug 2004 B2
6792380 Toda Sep 2004 B2
6819269 Flick Nov 2004 B2
6822314 Beasom Nov 2004 B2
6865465 McClure Mar 2005 B2
6865484 Miyasaka et al. Mar 2005 B2
6879283 Bird et al. Apr 2005 B1
6900992 Kelly et al. May 2005 B2
6922635 Rorabaugh Jul 2005 B2
6931233 Tso et al. Aug 2005 B1
6961018 Heppe et al. Nov 2005 B2
6967538 Woo Nov 2005 B2
6990399 Hrazdera et al. Jan 2006 B2
7006032 King et al. Feb 2006 B2
7026982 Toda et al. Apr 2006 B2
7027918 Zimmerman et al. Apr 2006 B2
7031725 Rorabaugh Apr 2006 B2
7089099 Shostak et al. Aug 2006 B2
7142956 Heiniger et al. Nov 2006 B2
7155335 Rennels Dec 2006 B2
7162348 McClure et al. Jan 2007 B2
7191061 McKay et al. Mar 2007 B2
7221314 Brabec et al. May 2007 B2
7231290 Steichen et al. Jun 2007 B2
7248211 Hatch et al. Jul 2007 B2
7271766 Zimmerman et al. Sep 2007 B2
7277784 Weiss Oct 2007 B2
7292186 Miller et al. Nov 2007 B2
7324915 Altman Jan 2008 B2
7358896 Gradincic et al. Apr 2008 B2
7373231 McClure et al. May 2008 B2
7388539 Whitehead et al. Jun 2008 B2
7395769 Jensen Jul 2008 B2
7428259 Wang et al. Sep 2008 B2
7437230 McClure et al. Oct 2008 B2
7451030 Eglington et al. Nov 2008 B2
7479900 Horstemeyer Jan 2009 B2
7505848 Flann et al. Mar 2009 B2
7522099 Zhodzishsky et al. Apr 2009 B2
7522100 Yang et al. Apr 2009 B2
7571029 Dai et al. Aug 2009 B2
7689354 Heiniger et al. Mar 2010 B2
20030014171 Ma et al. Jan 2003 A1
20030093210 Kondo et al. May 2003 A1
20030118086 Pietila et al. Jun 2003 A1
20030187560 Keller et al. Oct 2003 A1
20030208319 Ell et al. Nov 2003 A1
20040039514 Steichen et al. Feb 2004 A1
20040212533 Whitehead et al. Oct 2004 A1
20050080559 Ishibashi et al. Apr 2005 A1
20050225955 Grebenkemper et al. Oct 2005 A1
20050265494 Goodlings Dec 2005 A1
20060031664 Wilson et al. Feb 2006 A1
20060167600 Nelson et al. Jul 2006 A1
20060206246 Walker Sep 2006 A1
20060215739 Williamson et al. Sep 2006 A1
20070078570 Dai et al. Apr 2007 A1
20070088447 Stothert et al. Apr 2007 A1
20070121708 Simpson May 2007 A1
20070205940 Yang et al. Sep 2007 A1
20070285308 Bauregger et al. Dec 2007 A1
20080129586 Martin Jun 2008 A1
20080204312 Euler Aug 2008 A1
20090171583 DiEsposti Jul 2009 A1
20090174597 DiLellio et al. Jul 2009 A1
20090174622 Kanou Jul 2009 A1
20090177395 Stelpstra Jul 2009 A1
20090177399 Park et al. Jul 2009 A1
20090259397 Stanton Oct 2009 A1
20090259707 Martin et al. Oct 2009 A1
20090262014 DiEsposti Oct 2009 A1
20090262018 Vasilyev et al. Oct 2009 A1
20090262974 Lithopoulos Oct 2009 A1
20090265054 Basnayake Oct 2009 A1
20090265101 Jow Oct 2009 A1
20090265104 Shroff Oct 2009 A1
20090273372 Brenner Nov 2009 A1
20090273513 Huang Nov 2009 A1
20090274079 Bhatia et al. Nov 2009 A1
20090274113 Katz Nov 2009 A1
20090276155 Jeerage et al. Nov 2009 A1
20090295633 Pinto et al. Dec 2009 A1
20090295634 Yu et al. Dec 2009 A1
20090299550 Baker Dec 2009 A1
20090322597 Medina Herrero et al. Dec 2009 A1
20090322598 Fly et al. Dec 2009 A1
20090322600 Whitehead et al. Dec 2009 A1
20090322601 Ladd et al. Dec 2009 A1
20090322606 Gronemeyer Dec 2009 A1
20090326809 Colley et al. Dec 2009 A1
20100013703 Tekawy et al. Jan 2010 A1
20100026569 Amidi Feb 2010 A1
20100030470 Wang et al. Feb 2010 A1
20100039316 Gronemeyer et al. Feb 2010 A1
20100039318 Kmiecik et al. Feb 2010 A1
20100039320 Boyer et al. Feb 2010 A1
20100039321 Abraham Feb 2010 A1
20100060518 Bar-Sever et al. Mar 2010 A1
20100063649 Wu et al. Mar 2010 A1
20100084147 Aral Apr 2010 A1
20100085249 Ferguson et al. Apr 2010 A1
20100085253 Ferguson et al. Apr 2010 A1
20100103033 Roh Apr 2010 A1
20100103034 Tobe et al. Apr 2010 A1
20100103038 Yeh et al. Apr 2010 A1
20100103040 Broadbent Apr 2010 A1
20100106414 Whitehead Apr 2010 A1
20100106445 Kondoh Apr 2010 A1
20100109944 Whitehead et al. May 2010 A1
20100109945 Roh May 2010 A1
20100109947 Rintanen May 2010 A1
20100109948 Razoumov et al. May 2010 A1
20100109950 Roh May 2010 A1
20100111372 Zheng et al. May 2010 A1
20100114483 Heo et al. May 2010 A1
20100117894 Velde et al. May 2010 A1
20100117899 Papadimitratos et al. May 2010 A1
20100117900 van Diggelen et al. May 2010 A1
20100121577 Zhang et al. May 2010 A1
20100124210 Lo May 2010 A1
20100124212 Lo May 2010 A1
20100134354 Lennen Jun 2010 A1
20100149025 Meyers et al. Jun 2010 A1
20100149030 Verma et al. Jun 2010 A1
20100149033 Abraham Jun 2010 A1
20100149034 Chen Jun 2010 A1
20100149037 Cho Jun 2010 A1
20100150284 Fielder et al. Jun 2010 A1
20100152949 Nunan et al. Jun 2010 A1
20100156709 Zhang et al. Jun 2010 A1
20100156712 Pisz et al. Jun 2010 A1
20100156718 Chen Jun 2010 A1
20100159943 Salmon Jun 2010 A1
20100161179 McClure et al. Jun 2010 A1
20100161211 Chang Jun 2010 A1
20100161568 Xiao Jun 2010 A1
20100171660 Shyr et al. Jul 2010 A1
20100171757 Melamed Jul 2010 A1
20100185364 McClure Jul 2010 A1
20100185366 Heiniger et al. Jul 2010 A1
20100185389 Woodard Jul 2010 A1
20100188285 Collins Jul 2010 A1
20100188286 Bickerstaff et al. Jul 2010 A1
20100189163 Burgi et al. Jul 2010 A1
20100207811 Lackey Aug 2010 A1
20100210206 Young Aug 2010 A1
20100211248 Craig et al. Aug 2010 A1
20100211315 Toda Aug 2010 A1
20100211316 DaSilva Aug 2010 A1
20100220004 Malkos et al. Sep 2010 A1
20100220008 Conover et al. Sep 2010 A1
20100222076 Poon et al. Sep 2010 A1
20100225537 Abraham Sep 2010 A1
20100228408 Ford Sep 2010 A1
20100228480 Lithgow et al. Sep 2010 A1
20100231443 Whitehead Sep 2010 A1
20100231446 Marshall et al. Sep 2010 A1
20100232351 Chansarkar et al. Sep 2010 A1
20100235093 Chang Sep 2010 A1
20100238976 Young Sep 2010 A1
20100241347 King et al. Sep 2010 A1
20100241353 Park Sep 2010 A1
20100241441 Page et al. Sep 2010 A1
20100241864 Kelley et al. Sep 2010 A1
Foreign Referenced Citations (13)
Number Date Country
07244150 Sep 1995 JP
WO9836288 Aug 1998 WO
WO0024239 May 2000 WO
WO03019430 Mar 2003 WO
WO2005119386 Dec 2005 WO
WO2009066183 May 2009 WO
WO-2009082745 Jul 2009 WO
WO2009126587 Oct 2009 WO
WO2009148638 Dec 2009 WO
WO-2010005945 Jan 2010 WO
WO-2010042131 Apr 2010 WO
WO-2010104782 Sep 2010 WO
WO-2011014431 Feb 2011 WO
Related Publications (1)
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20110057834 A1 Mar 2011 US
Provisional Applications (1)
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61240098 Sep 2009 US