FPGA Implementation of a Single Channel GPS Interference Mitigation Algorithm

Abstract

The FPGA (Field-Programmable Gate Array) implementation of an adaptive filter for narrow band interference excision in Global Positioning Systems is described. The algorithm implemented is a delayed LMS (Least Mean Squares) adaptive algorithm improved by incorporating a leakage factor, rounding and constant resetting of the filter weights. This was necessary as the original adaptive algorithm had stability problems : the filter weights did not remain fixed, and tended to drift until they overflowed, causing the filter response to degrade. Each model was first tested in Simulink, implemented in VHDL (Verilog Hardware Description Language) and then downloaded to an FPGA board for final testing. Experimental measurements of anti-jam margins were obtained.

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G. Bucco, M. Trinkle, D. Gray and W. Cheuk, "FPGA Implementation of a Single Channel GPS Interference Mitigation Algorithm," Positioning, Vol. 1 No. 8, 2004, pp. -.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Robert S. (1999): The Impact of Interference on Civil GPS. ION 55th Annual Meeting, June 1999 pp. 821-828
[2] Landry R.; Renard A. (1997) Analysis of Potential Interference Sources and Assessment of Present Solutions For GPS/GNSS Receivers, 4th Saint-Petersburg International Conference on Integrated Navigation Systems, May 1997.
[3] Trinkle M.; Gray D. (2001) GPS Interference Mitigation; Overview and experimental Results. SatNav 2001, July, 2001.
[4] Dimos G.; Upadhyay T.; Jenkins T. (1995) Low-Cost Solution to Narrowband GPS Interference Problem Proc IEEE 1995 Naecon Meeting, vol I pp145-153 May 1995.
[5] Haykin S. (2002) Adaptive Filter Theory 4th Edition, Prentice Hall.
[6] Sethares W.; Lawrence D.; Johnson C.;, Bitmead R.; (1986) Parameter Drift in LMS Adaptive Filters IEEE Transactions on Acoustic, Speech and Signal Processing Vol. ASSP-34, No 4, August 1986.
[7] Nascimento V.; Sayed A. (1999) Unbiased and Stable Leakage-Based Adaptive Filter IEEE Transactions on Signal Processing, Vol. 47, No. 12 December 1999.
[8] Sherwood D.; Bershad N. (1987) Quantization effect in the Complex LMS Adaptive Algorithm: Linearization Using Dither-Theory IEEE Transaction on Circuits and System, Vol. CAS-34, No. 7, July 1987.

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