Attitude aided space-time multi-beamformer anti-jamming approach for satellite navigation receiver

Adaptive array signal processing is widely used to improve anti-jamming capability for satellite navigation receivers. Robust beamforming approaches based on steering vector uncertainties, which have been proposed in recent years, have better performance than standard minimum variance distortionless response (MVDR) beamformer in space adaptive processing (SAP). In some practice applications, the attitude of antenna array varies with vehicle attitude, so beam pointing should be timely adjusted with vehicle attitude. Vehicle attitude aided space-time adaptive beamforming approach has been proposed for moving vehicle. Every visible satellite was allocated a beam independently. The anti-jamming capability of these robust beamforming algorithms were evaluated in space-time domain and ultra low signal-to-interference plus noise ratio (SINR) environment. The simulation results show that these robust beamforming algorithms have no superiority over standard MVDR beamformer in anti-jamming performance. Hence, the attitude aided space-time MVDR beamformer can be used to mitigate interferences with less computation in navigation receiver.

[1]  Sergiy A. Vorobyov,et al.  Robust Adaptive Beamforming Based on Steering Vector Estimation With as Little as Possible Prior Information , 2012, IEEE Transactions on Signal Processing.

[2]  Stephen P. Boyd,et al.  Robust minimum variance beamforming , 2005, IEEE Transactions on Signal Processing.

[3]  Michael J. Rycroft,et al.  Understanding GPS. Principles and Applications , 1997 .

[4]  John J. Vaccaro,et al.  Wideband cancellation of interference in a GPS receive array , 2000, IEEE Trans. Aerosp. Electron. Syst..

[5]  Andreas Antoniou,et al.  Practical Optimization: Algorithms and Engineering Applications , 2007, Texts in Computer Science.

[6]  Sergiy A. Vorobyov,et al.  Robust Adaptive Beamforming Using Sequential Quadratic Programming: An Iterative Solution to the Mismatch Problem , 2008, IEEE Signal Processing Letters.

[7]  Zhi-Quan Luo,et al.  Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem , 2003, IEEE Trans. Signal Process..

[8]  Huawei Chen,et al.  Iterative Robust Minimum Variance Beamforming , 2011, IEEE Transactions on Signal Processing.

[9]  B Rama Rao,et al.  GPS/GNSS Antennas , 2013 .

[10]  Jian Li,et al.  On robust Capon beamforming and diagonal loading , 2003, IEEE Trans. Signal Process..

[11]  Michael D. Zoltowski,et al.  On the performance analysis of the MVDR beamformer in the presence of correlated interference , 1988, IEEE Trans. Acoust. Speech Signal Process..

[12]  Xianpeng Wang,et al.  A Robust Anti-Jamming Navigation Receiver with Antenna Array and GPS/SINS , 2014, IEEE Communications Letters.

[13]  Otmar Loffeld,et al.  A MATLAB toolbox for attitude determination with GPS multi-antenna systems , 2009 .