Carrier Tracking Performance Comparison of Standards and the Square-Root Kalman Filter

Abstract:

In order to solve the problem of loosing lock in weak GPS signal tracking, Kalman filter based carrier tracking method is presented.In this paper,two methods to track the GNSS carrier are compared,one is base on normal Kalman filter, another is based on square-root Kalman filter. The paper analyzes the under performance in the low carrier-to-noise ratio, and the expenditure of the actual project exists, but the high carrier to noise less discussed than the case will appear.The analyse and simulation result can be used to guide the engineering design of the GNSS receiver.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1188-1193
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1188
• Online since: December 2012
• Authors: Shao Jie Ni, Jing Pang, Xiao Mei Tang, Fei Xue Wang
• Keywords: Carrier Tracking, GPS, Kalman Filter (KF), Weak Signal

References

[1] Kaplan E D. Under standing GPS pr inciples and applications. [M] . 2nd ed. Boston: Ar tech House, Inc, 2006: 2192232.

[2] Van Dierendonck, A. J. (1996) GPS Receivers, [Chapter 8] in Global Positioning System: Theory and Applications, Progress in Astronautics and Aeronautics, Vol. 163, p.329.

[3] Ward, P. W., J. W. Betz and C. J. Hegarty (2006) Satellite Signal Acquisition, Tracking and Data Demodulation, [Chapter 5] in Understanding GPS Principles and Applications, second edition, Artech House Mobile Communications Series, p.153.

[4] Ziedan N I . GNSS r eceivers for weak signals [ M] . London: Ar tech H ouse, Inc, 2006.

[5] Irsigler, M. and B. Eissfeller (2002) PLL Tracking Performance in the Presence of Oscillator Phase Noise, GPS Solutions, Vol. 5, No. 4, pp.45-57 (2002).

DOI: 10.1007/pl00012911

[6] Brown, R.G. and Hwang, P.Y.C., Introduction to Random Signals and Applied Kalman Filtering, 3rd Edition, J. Wiley & Sons, (New York, 1997).

[7] O'Driscoll, C. and G. Lachapelle (2009) Comparison of Traditional and Kalman Filter Based TrackingArchitectures, in Proceedings of European Navigation Conference 2009, Naples, Italy, May 3-6, (2009).

[8] Psiaki, M.L. and H. Jung (2002), Extended Kalman Filter Methods for Tracking Weak GPS Signals, in Proceedings of ION GPS (2002).

[9] Salem, D., C. O'Driscoll and G. Lachapelle (2009).

[10] Yi, Q., C. Xiaowei, L. Mingquan and F. Zhenming (2009) Steady-State Performance of Kalman Filter for DPLL, in Tsinghua Science And Technology, pp.470-473, Vol. 14, Number 4, August (2009).

DOI: 10.1016/s1007-0214(09)70104-x

[11] Psiaki M L, Jung H . Extended Kalman filter methods for t racking weak GPS signals [ C] ION GPS 2002. Por tland, USA: The Institute of Navigation, (2002).

[12] ZH ANG Jing, MAO Xu2chu. The algorithm for GPS weak signal tracking using unscented Kalman filter[ J] . Jour nal of Shanghai Jiaotong Univer sity, 2007, 41( 11).