Method and apparatus for rapidly estimating the doppler-error and other receiver frequency errors of global positioning system satellite signals weakened by obstructions in the signal path

• US 20020111739A1
• Filed: 11/19/2001
• Published: 08/15/2002
• Est. Priority Date: 08/24/2000
• Status: Active Grant

• Current Assignee: Fast Location.Net, LLC
• Original Assignee: Fast Location.Net, LLC
• Inventors: Jandrell, Louis H.M.
• Granted Patent: US 6,498,585 B2
• Time in Patent Office: Days
• US Class Current: 701/214
• CPC Class Codes: G01S 19/17 Emergency applications
• CPC Class Codes: G01S 19/235 Calibration of receiver components
• CPC Class Codes: G01S 19/29 carrier including Doppler, related G01S19/246 takes precedence
• CPC Class Codes: G01S 19/34 Power consumption

Abstract

Frequency-offset components are extracted from a set of digitized samples of signals transmitted by a satellite. The samples are squared to produce squared samples and decimated. The squared samples are auto-correlated to produce an auto-correlate, and the auto-correlate is truncated. The truncated auto-correlate is transformed into the frequency domain to obtain double-frequency offset components. The scaled offset frequencies are used to compensate for Döppler-shift and receiver frequency errors and for Döppler induced time errors in digitized samples used to estimate pseudorange information.

Claims

1. A method for extracting Dö

ppler-error components from digitized signal samples transmitted by a satellite, said method comprising the steps of;

receiving and digitizing said signals to produce digitized samples;

squaring said digitized signal samples to produce squared samples;

decimating said squared samples;

auto-correlating said squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

2. The method of claim 1 comprising the further steps of:

obtaining the significant frequency components of said auto-correlate; and

scaling said frequency components for actual offset frequencies.

3. The method of claim 1 wherein said step of decimating the squared samples includes:

applying said squared samples to a low-pass filter, creating narrow-band samples, said narrow-band samples having a plurality of sinusoidal components, wherein said low-pass filter reduces the signal and noise bandwidth of said squared samples and reduces the number of narrow-band samples to be Fourier transformed.

4. A computer useable medium having stored therein instructions for causing a processing unit to execute the following method:

receiving and digitizing said satellite signals to produce digitized signal samples;

squaring said digitized signal samples to produce squared samples;

decimating said squared samples;

auto-correlating said squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

5. A machine having a memory which contains data representing auto-correlates, said auto-correlates generated by the following method:

receiving and digitizing said satellite signals to produce digitized signal samples;

squaring said digitized signal samples to produce squared samples;

decimating said squared samples;

auto-correlating said squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

6. A method of noise-filtering the digitized signal samples of said signals received from said satellites, said signals from satellites containing noise-energy, said method comprising the steps of:

receiving and digitizing said noisy signals to produce digitized signal samples, said digitized signal samples having been squared;

auto-correlating said squared samples to emphasize the sinusoidal components in said squared samples, wherein said auto-correlation produces an auto-correlate that concentrates said noise-energy of said squared samples in a zero-time-shift component; and

removing said zero-time-shift component from the auto-correlate.

7. The method of claim 6 comprising the further steps of:

transforming said auto-correlate to the frequency domain; and

examining the resulting spectrum of said auto-correlate to obtain the frequency-offset components of said auto-correlate; and

scaling said frequency-offset components to yield actual offset frequencies.

8. The method of claim 7 comprising the further steps of:

using an actual offset frequency to compensate said digitized signal samples for a frequency-offset; and

determining the satellite identification code from said compensated digitized signal samples.

9. The method of claim 7 comprising the further steps of:

using the actual offset frequencies to compensate the digitize signal samples for the frequency-offsets; and

determining the pseudorange timing to said satellite from said compensated digitized signal samples.

10. A computer useable medium having stored therein instructions for causing a processing unit to execute the following method:

receiving and digitizing signals from satellites, said digitized signals having been squared, said signals from satellites containing noise-energy;

auto-correlating said squared samples of digitized signals received from said satellite signals to emphasize the sinusoidal components in said squared samples, wherein said auto-correlation produces an auto-correlate that concentrates said noise-energy of said squared samples in a zero-time-shift component; and

removing said component from the auto-correlate.

11. A machine having a memory which contains data representing digitized samples of satellite signals, said samples of satellite signals produced by the following method:

receiving and digitizing signals from satellites, said digitized signals having been squared, said signals from satellites containing noise;

auto-correlating said squared samples of digitized signals received from said satellite signals to emphasize the sinusoidal components in said squared samples, wherein said auto-correlation produces an auto-correlate that concentrates said noise-energy of said squared samples in a zero-time-shift component; and

removing said component from the auto-correlate.

13. The method of claim 12 further comprising the additional step of using one of said actual offset frequencies to obtain a unique identifier for said satellite transmitting said signal.

14. The method of claim 12 including the further steps of computing satellite ID and pseudorange information and transmitting said Satellite ID and pseudorange information to an operations center.

17. The device of claim 16 further comprising:

means for obtaining frequency-offset components of said auto-correlate; and

means for scaling said frequency-offset components to yield the actual offset frequencies.

18. The device of claim 16 further including means for decimating the squared samples includes means for low-pass filtering said squared samples to create narrow-band samples, said narrow-band samples having a plurality of sinusoidal components, wherein said low-pass filter reduces the signal and noise bandwidth of said squared samples.

12. A method for extracting frequency-offset components for compensating for the frequency-offsets contained in the digitized signal samples of signals transmitted by a satellite, said method comprising the steps of:

receiving and digitizing said digitized signal signals to produce digitized signal samples;

squaring said digitized signal samples to produce squared samples;

decimating said squared samples;

auto-correlating said squared samples to produce an auto-correlate;

transforming said auto-correlate to the frequency domain;

examining the resulting spectrum of said auto-correlate to obtain the frequency-offset components of said auto-correlate;

scaling said frequency-offset components to yield actual offset frequencies; and

using said actual offset frequencies to compensate for said frequency-offsets of said digitized signal samples.

15. A computer useable medium having stored therein instructions for causing a processing unit to execute the following method:

receiving and digitizing signals from satellites to produce digitized samples;

squaring said digitized signal samples to produce squared samples;

auto-correlating said squared samples to produce an auto-correlate;

transforming said auto-correlate to the frequency domain;

examining the resulting spectrum of said squared samples to obtain the frequency-offset components of said auto-correlate;

scaling said frequency-offset components to yield actual offset frequencies; and

using said actual offset frequencies to compensate for said frequencyoffsets components of said digitized signal samples.

16. A device for extracting carrier components from digitized signal samples of signals transmitted by a satellite, comprising:

means for receiving and digitizing said signals to produce digitized samples;

means for squaring said digitized samples to produce squared samples;

means for auto-correlating said squared samples to produce an auto-correlate;

19. The device of claims 16, 17 or 18 wherein said device is an integral portion of a two-way wireless device.

20. The device of claims 16, 17 or 18 wherein said device is included in an attachment, said attachment being coupled to a two-way wireless device.

21. A device for filtering digitized samples of signals received from a satellite, said device comprising:

means for receiving a digitized signal from said satellite, said signal containing noise-energy;

means for digitizing the signal, to provide digitized samples;

means for squaring said digitized signal samples, to provide a squared sample of signals from said satellite;

means for auto-correlating said squared samples of signals received from said satellite, to produce a signal sample that emphasizes the sinusoidal components in said squared sample, whereby said auto-correlation produces an auto-correlate that concentrates said noise-energy of said squared samples in a zero-time-shift component; and

means for removing said zero-time-shift component from the autocorrelate.

22. The device of claim 21 further comprising:

means for transforming said auto-correlate to the frequency domain;

means for examining the resulting spectrum of said auto-correlate to obtain the frequency-offset components of said auto-correlate; and

means for scaling said frequency-offset components to yield actual offset frequencies.

23. The device of claim 21 further comprising:

means for compensating for the Dö

ppler-errors to enable determining the unique satellite identification code.

24. The device of claims 21, 22 or 23 wherein said device is an integral portion of a two-way wireless device.

25. The device of claims 21, 22 or 23 wherein said device is included in an attachment, said attachment being coupled to a two-way wireless device.

27. The wireless device of claim 26 wherein said auto-correlation means comprises:

means for emphasizing the sinusoidal components of said squared signal samples;

means for concentrating said noise-energy of said squared sample in a zero-time-shift component; and

means for removing said zero-time-shift component from said autocorrelate.

29. The wireless device attachment of claim 28 further comprising:

means for emphasizing the sinusoidal components in said squared samples,

means for concentrating said noise-energy in said squared samples in a zero-time-shift component; and

means for removing said zero-time-shift component from said auto correlate.

26. A wireless device comprising:

an antenna that receives and transmits full-duplex wireless signals to and from a user;

processing means, coupled to said antenna, for processing said wireless signals to produce audio signals and communicating said audio signals to said user;

a GPS antenna to receive GPS signals, said GPS signal containing noise-energy;

means for digitizing said GPS signals into digitized signal samples;

means for squaring said digitized signal samples to produce squared samples;

means for decimating said squared samples;

auto-correlation means for auto-correlating said squared samples to produce an auto-correlate; and

means for transforming said auto-correlate to the frequency domain.

28. A wireless device attachment comprising:

means for receiving GPS signals, said GPS signals containing noise energy;

means for digitizing said GPS signals into digitized signal samples;

means for squaring said digitized signal samples to produce squared samples;

means for decimating said squared samples;

means for auto-correlating squared sample to produce an auto-correlate; and

means for transforming said auto-correlate to the frequency domain.

30. A method for extracting Dö

ppler-errors from a set of digitized samples of signals transmitted by a satellite, said method comprising the steps of;

receiving and capturing a set of digitized signal samples of said signals;

squaring said digitized signal samples to produce a set of squared samples;

auto-correlating said set of squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

31. The method of claim 30 comprising the further steps of:

obtaining frequency-offset components of said auto-correlate; and

scaling said frequency-offset components to yield actual offset frequencies.

32. A computer useable medium having stored therein instructions for causing a processing unit to execute the following method:

receiving and capturing a set of digitized samples of signals from satellites;

squaring said digitized signal samples to produce a set of squared samples;

auto-correlating said set of squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

33. A method for extracting carrier components from a set of digitized samples of signals transmitted by a satellite, said method comprising the steps of:

receiving and capturing a set of digitized samples of said signals from satellites;

squaring said digitized samples to produce a set of squared samples;

auto-correlating said set of squared samples to produce an auto-correlate; and

transforming said auto-correlate to the frequency domain.

34. The method of claim 33 comprising the further steps of:

obtaining the frequency-offset components of said squared auto-correlate; and

scaling said frequency-offset components to yield actual offset frequencies.

35. The method of claim 33 wherein said step of decimating the squared samples includes:

applying said squared samples to a low-pass filter and creating a plurality of narrow-band samples, said narrow-band signals having a plurality of sinusoidal components, wherein said low-pass filter reduces the signal and noise bandwidth of said samples.

38. The method of claim 37 further comprising the additional step of using said actual offset frequencies to obtain a unique identifier for said satellite transmitting said signal.

39. The method of claim 37 including the further steps of computing satellite ID and pseudorange information and transmitting said satellite ID and pseudorange information to an operations center.

36. A computer useable medium having stored therein instructions for causing a processing unit to execute the following method:

receiving and capturing a set of digitized signal samples of signals from satellites;

squaring said digitized samples to produce a set of squared samples;

decimating said squared samples; and

transforming said squared samples to the frequency domain.

37. A method for extracting frequency-offset components to compensate for the time shifts caused by the frequency-offsets contained in the digitized samples of signals transmitted by a satellite, said method comprising the steps of:

receiving and digitizing said signals to produce digitized signal samples;

squaring said digitized signal samples to produce squared samples;

decimating said squared samples;

auto-correlating said squared samples to produce an auto-correlate;

transforming said auto-correlate to the frequency domain;

examining the resulting spectrum of said auto-correlate to obtain the frequency-offset components of said auto-correlate;

scaling said frequency-offset components to yield actual offset frequencies; and

using said actual offset frequencies to compensate for the Dö

ppler-time shift related to the said frequency-offsets components of said auto-correlate.