GNSS performance enhancement using accelerometer-only data

• US 8,935,093 B2
• Filed: 11/13/2012
• Issued: 01/13/2015
• Est. Priority Date: 01/28/2010
• Status: Active Grant

• Current Assignee: CSR Technology Holdings Inc. (Qualcomm, Inc.)
• Original Assignee: CSR Technology Holdings Inc. (Qualcomm, Inc.)
• Inventors: Chansarkar, Mangesh
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): PAIGE, TYLER D
• Application Number:
  US13/676,047
• Publication Number:
  US 20130282276A1
• Time in Patent Office: 791 Days
• Field of Search: 701/472, 701/501, 702/104, 702/151
• US Class Current: 701/472
• CPC Class Codes: G01C 21/28 with correlation of data from several navigational instruments
• CPC Class Codes: G01S 19/26 involving a sensor measurement for aiding acquisition or tracking

Abstract

The present invention provides apparatus and methods for improving satellite navigation by assessing the dynamic state of a platform for a satellite navigation receiver and using this data to improve navigation models and satellite tracking algorithms. The dynamic state of the receiver platform may be assessed using only accelerometer data, and does not require inertial navigation system integration. The accelerometers may not need to be very accurate and may not need to be aligned and/or accurately calibrated.

Claims

1. A method of accelerometer assisted satellite navigation, comprising:

collecting accelerometer data;

categorizing said accelerometer data into one of at least two acceleration levels depending on a magnitude of said accelerometer data, wherein a first acceleration level corresponds to a range of acceleration magnitudes that are higher than a range of acceleration magnitudes corresponding to a second acceleration level; and

utilizing the categorized accelerometer data to enhance satellite navigation based on received satellite signals, wherein when said accelerometer data is categorized as said first acceleration level, a first condition for performing satellite navigation based on received satellite signals is used, and wherein when said accelerometer data is categorized as said second acceleration level, a second condition different than said first condition is used for performing satellite navigation based on received satellite signals.

2. A method as in claim 1, further comprising:

detecting a stationary condition of an accelerometer set;

gross-calibrating said accelerometer set when in said stationary condition, wherein gross-calibrating includes determining a combined-bias of said accelerometer set; and

defining the at least two acceleration levels using said combined-bias.

3. A method as in claim 2, wherein said detecting said stationary condition comprises:

collecting acceleration data;

calculating the statistics of said acceleration data; and

analyzing said statistics to determine said stationary condition.

4. A method as in claim 2, wherein said accelerometer is within a vehicle and detecting said stationary condition includes monitoring a vibration profile for said vehicle.

5. A method as in claim 2, wherein said gross-calibrating said accelerometer set is repeated whenever a stationary condition is detected.

6. A method as in claim 2, wherein said accelerometer set is an accelerometer triad and said combined-bias is determined for said accelerometer triad as a whole.

7. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes assisting satellite tracking.

8. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes setting an adaptive Q in a Kalman filter dynamic model using the acceleration level of the categorized acceleration data.

9. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes setting a carrier-to-noise ratio for optimization of satellite signal collection using the acceleration level of the categorized acceleration data.

10. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes adjusting a satellite signal tracking algorithm bandwidth using the acceleration level of the categorized acceleration data.

11. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes adjusting a tracking pre-detection integration time using the acceleration level of the categorized acceleration data.

12. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes setting the time constant of loss of satellite lock detection using the acceleration level of the categorized acceleration data.

13. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes assisting in satellite signal acquisition using the acceleration level of the categorized acceleration data.

14. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes optimizing a power use of a satellite signal receiver using the acceleration level of the categorized acceleration data.

15. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes optimizing a number of channels needed to acquire a satellite signal.

16. A method as in claim 1, wherein said utilizing said categorized accelerometer data to enhance satellite navigation includes modeling satellite search uncertainty growth during a satellite signal outage.

17. A method as in claim 16, wherein said utilizing said categorized accelerometer data to enhance satellite navigation further includes optimizing a number of channels needed to acquire a satellite signal after said satellite signal outage ends.

18. A method as in claim 14, wherein said satellite signal receiver is within a cell phone.

19. A system for accelerometer assisted satellite navigation, said system comprising:

an accelerometer set for generating accelerometer data; and

an accelerometer data categorization module for categorizing said accelerometer data by acceleration level depending on a magnitude of said accelerometer data, wherein a first acceleration level corresponds to a range of acceleration magnitudes that are higher than a range of acceleration magnitudes corresponding to a second acceleration level; and

a navigation processor for providing navigation solutions,

wherein said navigation processor is configured to utilize categorized accelerometer data from the accelerometer data categorization module for enhancing navigation solutions based on received satellite signals, and wherein when said accelerometer data is categorized as said first acceleration level, said navigation processor uses a first condition for performing satellite navigation based on received satellite signals, and wherein when said accelerometer data is categorized as said second acceleration level, said navigation processor uses a second condition different than said first condition for performing satellite navigation based on received satellite signals.

20. A system as in claim 19, further comprising:

a stationary condition detection module, for detecting a stationary condition of said accelerometer set from said accelerometer data;

a gross-calibration module for providing a combined-bias of said accelerometer set from accelerometer data collected when said stationary condition of said accelerometer set is detected; and

an acceleration level definition module for defining at least two acceleration levels using said combined-bias of said accelerometer set.

21. A system as in claim 20, further comprising:

a GNSS subsystem for acquiring satellite signals;

wherein said GNSS subsystem is configured to utilize categorized accelerometer data for assisting in satellite signal acquisition.