GNSS


Integrating GPS/INS/PL for Robust Positioning

Jul 2007 | Comments Off on Integrating GPS/INS/PL for Robust Positioning

 
The challenging issues and progresses
   

Concluding Remarks

During the past two decades, GPS has revolutionised surveying, geodesy and other position-sensitive disciplines, such as transportation, personal location and telecommunications.  The ever-increasing dependence on the GPS has triggered more and more concerns about the robustness of GPS. However, the recent studies conducted by some leading organizations, such as Volpe National Transportation Systems Centre in the USA, have revealed that GPS cannot perform reliably under weak signal and/or radio interference environments. This critical issue, which may be even a concern of safety-of-life in such positioning applications as aircraft automatic landing or rescue efforts in the high-rise buildings, can be addressed by the ultra-tight integration of GPS/INS/PL.

Fundamentally, radio based positioning systems and inertial sensors have complementary characteristics, offering an ideal integration scenario for a robust positioning and navigation system. In contrast to the existing ultra-tight ‘twin’ integration of GPS/INS, the inclusion of pseudolites into the system will significantly boost the positioning performance as pseudolites can transmit stronger signals than GPS from any desirable locations, ensuring an optimal geometry for positioning operations.  In addition, where GPS signals are totally lost/jammed, pseudolites can even replace the GPS as a back-up means of positioning (Wang, 2002). The developments of pseudolites should also address optimal combinations of frequencies and signal structures for a wide range of application environments (Jovancevic, et al., 2007)

This paper has presented an overview of the GPS/INS/PL research and discussed such challenging issues as Modelling INS and GPS/PL measurements; Multiple Access Interference and Near-Far effects; Integration of Pseudolite with GPS/INS; Integration filter, Smart Antenna Array.  Finally, the initial results from the real-time experiment demonstrate the robust performance of the ultra-tight integration.

Acknowledgement

This research is supported by the Australian Research Council (ARC) Discovery Project on “Robust Positioning Based on Ultra-tight Integration of GPS, Pseudolite and Inertial Sensors”.

References

1. Alban S., Akos D.M. Rock S., Gebre-Egzibher D. (2003) Performance analysis and architectures for INS-aided GPS tracking loops. ION Technical Meeting, January 18-23, pp. Anaheim, California, 611-622

2. Bar-Itzhack I.Y. & Y. Vitek (1985) The Enigma of False Bias Detection in a Strapdown System during Transfer Alignment, AIAA ournal of Guidance and Control, 8(2), 175-180.

3. Beser J., Alexander S., Crane R., Rounds S. Wyman J. Baeder B. (2002) TRUNA: A low-cost guidance/navigation unit integrating a SAASM-based GPS and MEMS IMU in a deeply coupled mechanization. Proceedings of ION GPS-2002, 545-555.

4. Babu, R., Wang, J., (2004) Improving the Quality of IMU-Derived Doppler Estimates for Ultra-Tight GPS/INS Integration. GNSS 2004, Rotterdam, The Netherlands, 16-19 May.

5. Babu, R., Wang, J., (2005a) Analysis of INS Derived Doppler Effects on Carrier Tracking Loop. Journal of Navigation, 58(3), 493-507.

6. Babu, R., Wang, J., (2005b) Dynamics performance of code and carrier tracking loops in Ultra-tight GPS/INS/PL integration. IEEE-Indicon 2005, Chennai, India, 11-13 December.

7. Babu, R., Wang, J., (2005c) Ultra-Tight GPS/INS/PL integration: Kalman Filter Performance Analysis. GNSS 2005, Hong Kong, 8-10 December.

8. Babu, R., Wang, J., (2005d) Performance of Code Tracking Loop in Ultra-tight GPS/INS integration. ENC-GNSS2005, Munich, Germany, 19-22 July.

9. Beser, J., Alexander, S., Crane, R., Rounds, S., Wyman, J., & Baeder, B., (2002) TrunavTM: A Low-Cost Guidance/Navigation Unit Integrating a SAASM-based GPS and MEMS IMU in a Deeply Coupled Mechanization. 15th Int. Tech. Meeting of the Satellite Division of the U.S. Inst. of Navigation, Portland, OR, 24-27 September, 545-555.

10. Brown A. and Gerein N (2001) Test Results of a Digital Beamforming GPS Receiver in a Jamming Environment, ION GPS 2001, 11-14 September 2001, Salt Lake City, UT, 894-903.

11. Chan F., J. Choi, & J. Wang (2005) A robust signal acquisition and tracking architecture with ultra-tight integration of GPS/INS/PL and multiple antenna array. Int. Symp. on GPS/GNSS, Hong Kong, 8-10 December, paper 5A-07, CD-ROM procs.

12. Choi J. (2000) Pilot channel-aided techniques to compute the beam forming vector for CDMA systems with antenna array, IEEE Trans. Veh. Tech., 49(6): 1760-1775.

13. Cox, D.B., (1982) Integration of GPS with Inertial Navigation Systems. Navigation, Journal of the Institute of Navigation, 1, 144-153.

14. Cunningham J. & Lewantowicz Z.H. (1988) Dynamic integration of separate INS/GPS Kalman filters. Proceedings of the ION GPS-88, Colorado Springs, CO, Institute of Navigation, Sept. 19-23, 273-282.

15. Farrel J. and Barth M. (1999) The Global Positioning System and Inertial Navigation, McGraw-Hill New York

16. Fu Z. & J. Wang (2003) MAI-Mitigation and Near-Far-Resistance Architectures for GPS/GNSS Receivers. Journal of Global Positioning Systems, 2(1): 27-34.

17. Greenspan R. L. (1996) GPS and inertial integration, in: Parkinson, B.W. and Spilker, J.J. (eds.), Global Positioning System: Theory and Applications (Vol. II), American Institute of Astronautics, Washington, D.C., 187-220.

18. Grejner-Brzezinska, D.A., R. Da & C. Toth (1998) GPS error modeling and OTF ambiguity resolution for high-accuracy GPS/INS integrated system, Journal of Geodesy, 72, 626-638

19. Groves, P, D., & Long, D, C., (2005) Combating GNSS Interference with Advanced Inertial Integration. The Journal of Navigation, 58, 419-432.

20. Gustafson, D., & Dowdle, J., (2003) Deeply Integrated Code Tracking: Comparative Performance Analysis. Proceedings of ION GPS-2004, 2553-2561.

21. Hentschel T & Fettweis G (2000) Sample Rate Conversion for Software Radio. IEEE Communications Magazine, August, 2-10.

22. Jovancevic A, Bhatia N, Noronha J, Sirpatil B, Kirchner M, Saxena D (2007) Tests of a Flexible Pseudolite-Based Navigation System, GPS World, March, 30-37.

23. Jwo D.-J., (2001) Optimization and Sensitivity Analysis of GPS Receiver Tracking Loops in Dynamic Environments. IEE Proceedings of Radar, Sonar Navigation, 148, 241-250.

24. Kim, J, W., Hwang, D, H., & Lee, S, J., (2006) A Deeply Coupled GPS/INS Integrated Kalman Filter Design Using a Linearized Correlator Output. PLANS 2006, California,

25-27 April, pp. 300-305
25. Lee H.Y., J. Wang, C. Rizos, Grejner-Brzezinska, D.A., & C. Toth (2002) GPS/pseudolite/INS: Concept and first tests. GPS Solutions, 6(1-2), 34-46.

26. Li, D., & Wang, J., (2005) Enhancing the Performance of Ultra-tight Integration of GPS/PL/INS: A Federated Filter Approach. GNSS 2005, Hong Kong, 8-10 Dec.

27. Li, D., & Wang, J., (2006) Kalman Filter Design Strategies for Code Tracking Loop in Ultra-tight GPS/INS/PL integration. U.S. Institute of Navigation NTM, Monterey, California, 18-20 January, 984-992.

28. Li, D., Wang, J., Babu, R., (2005) Nonlinear Stochastic Modeling for INS Derived Doppler Estimates in Ultra-tight GPS/PL/INS integration. GNSS 2005, Hong Kong, 8-10 December.

29. Liberti Jr J.C. & T.S. Rapapport (1999) Smart Antennas for Wireless Communications: IS-95 and third generation CDMA applications, Prentice-Hall, USA.

30. Poh E.K., Kol A. Wong G. (2002) Evaluation of coupled GPS/INS integration using software GPS receiver model, ION GPS-2002, 2443-2450.

31. Sennott J. & Senffner D. (1997) Robustness of tightly-coupled integrations for real-time centimetre GPS positioning. ION GPS-97, 655-663.

32. Wang J. (2002) Pseudolite applications in positioning and navigation: Progress and problems. Journal of Global Positioning Systems, 1(1), 48-56. (http://www.cpgps.org/journal/journal.html).

33. Wang J., L. Dai, T. Tsujii, C. Rizos, D. Grejner-Brzezinska & C.K. Toth (2001) GPS/INS/Pseudolite integration: Concepts, simulation and testing, Proceedings of US ION GPS-2001, Salt Lake City, Utah, 11-14 September, 2708-2715.

 

Jinling Wang, Ravindra Babu, Di Li

School of Surveying and Spatial Information
Systems, University of New South Wales
Sydney, NSW 2062, Australia,
Jinling.Wang@.unsw.edu.au
   

Franics Chan, Jinho Choi

School of Electrical and Telecommunications
University of New South Wales
Sydney, NSW 2062, Australia
   
     
 
My coordinates
EDITORIAL
 
His Coordinates
Steve Berglund
 
News
INDUSTRYLBS | GPSGIS  | GALILEO UPDATE
 
Mark your calendar
May 09 TO DECEMBER 2009

«Previous 1 2 3View All| Next»

Pages: 1 2 3

1 Star2 Stars3 Stars4 Stars5 Stars (1 votes, average: 1.00 out of 5)
Loading...