基于Kalman滤波的GPS/INS接收机自适应干扰抑制方法

doi:10.7527/S1000-6893.2013.0070

Abstract

Abstract:

Considering the real-time requirement of interference suppression in INS-assisted GPS (GPS/INS) receiver, a novel adaptive interference suppression approach for the GPS/INS receiver is presented based on the Kalman filter.An adaptive generalized sidelobe canceller (GSC) always employs the least-mean-square (LMS) algorithm for weight adaptation due to the lower complexity, but its convergence rate is lower and even make the receiver interrupt in severe cases. First, Householder transformation is employed for the design of the blocking matrix of the GSC, which can block desired signal received by an arbitrary planar array type. Then, update the adaptive weight on the low path by the Kalman filter, which exhibits great advantage for the output signal-to-interference-noise ratio (SINR). Theoretical analysis and simulation results demonstrate that the proposed method can effectively suppress the impact of interference on the receiver,and improve real-time characteristics of interference mitigation.

Key words: GPS/INS receiver, Householder transformation, generalized sidelobe canceller, interference suppression, Kalman filter

CLC Number:

WANG Chun, ZHANG Linrang, LUO Feng. Adaptive Interference Suppression Method Based on Kalman Filter in GPS/INS Receiver[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(6): 1414-1423.

References

[1] Malmstrm J. Robust navigation with GPS/INS and adaptive beamforming. Scientific Report of Swedish Defence Research Agency, 2003.

[2] Backen S, Akos D M, Nordenvaad M L. Post-processing dynamic GNSS antenna array calibration and deterministic beamforming. Proceedings of the 21st International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2008), 2008: 2806-2814.

[3] Chan F, Choi J, Wang J. A robust signal acquisition and tracking architecture with ultra-tight integration of GPS/INS/PL and multiple antenna array. The 2005 International Symposium on GPS/GNSS, 2005.

[4] Groves P D, Long D C. INS/GPS integration in a high interference environment. GNSS 2003, 2003.

[5] Gao G J. INS-assisted high sensitivity GPS receivers for degraded signal navigation. Calgary, Canada: Department of Geomatics Engineering, University of Calgary, 2007.

[6] Lu M Q, Wang J L, Babu R, et al. A novel antenna array for GPS/INS/PL integration. The 2004 International Symposium on GNSS/GNSS, 2004.

[7] Wang Y L, Ding Q J, Li R F. Adaptive array processing. Beijing: Tsinghua University Press, 2009: 45-46. (in Chinese) 王永良, 丁前军, 李荣锋. 自适应阵列处理. 北京: 清华大学出版社, 2009: 45-46.

[8] Kamel A M M. Context aware high dynamics GNSS-INS for interference mitigation. Calgary, Canada: Department of Geomatics Engineering, University of Calgary, 2011.

[9] Huang L, Lv Z C, Wang F X. Spoofing pattern research on GNSS receiver. Journal of Austronautics, 2012, 33(7): 884-890. (in Chinese) 黄龙, 吕志成, 王飞雪. 针对卫星导航接收机的欺骗干扰研究. 宇航学报,2012, 33(7): 884-890.

[10] Yao Y X, Yang D K, Zhang Q S. GPS multipath signal estimation method utilizing adaptive filtering. Acta Aeronautica et Astronautica Sinica, 2010, 31(10): 2004-2009. (in Chinese) 姚彦鑫, 杨东凯, 张其善. GPS多径信号的自适应滤波估计方法. 航空学报, 2010, 31(10): 2004-2009.

[11] Zhang X D, Wei W. Blind adaptive multiuser detection based on Kalman filtering. IEEE Transactions on Signal Processing, 2002, 50(1): 87-95.

[12] Lee J H, Lee Y H. Two-dimensionial adaptive array beamforming with multiple beam constrains using a generalized sidelobe canceller. IEEE Transactions on Signal Processing, 2005, 53(9): 3517-3529.

[13] Koh C L. Broadband adaptive beamforming with low complexity and frequency invariant response. Southampton, UK: Department of Electronics and Computer Science, University of Southampton, 2009.

[14] Wang C, Zhang L R, Chen G F, et al. Fast adaptive interference suppression method in the GPS receiver. Journal of Xidian University: Natural Science, 2011, 28(3): 114-120. (in Chinese) 王纯,张林让,陈广锋, 等. 用于GPS接收机的快速自适应干扰抑制方法. 西安电子科技大学学报: 自然科学版, 2011, 38(3): 114-120.

[15] Yi C, Fang W H. A novel wavelet-based generalized sidelobe canceller. IEEE Transactions on Antennas and Propagation, 1999, 47(9): 1485-1494.

[16] Gong X L, Fang J C. Application of modified Kalman filtering restraining outliers based on orthogonality of innovation to POS. Acta Aeronautica et Astronautica Sinica, 2009, 30(12): 2348-2353. (in Chinese) 宫晓琳, 房建成. 基于新息正交性的Kalman滤波抗野值法在POS中的应用. 航空学报, 2009, 30(12): 2348-2353.

[17] Zhang X D. Matrix analysis and applications. Beijing: Tsinghua University Press, 2004: 405-406. (in Chinese) 张贤达. 矩阵分析与应用. 北京: 清华大学出版社, 2004: 405-406.

Adaptive Interference Suppression Method Based on Kalman Filter in GPS/INS Receiver

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