Smart antenna design for GPS/GLONASS anti-jamming using adaptive beamforming

Smart antenna has the advantage of suppressing jamming in spatial region and improving signal to Interference plus Noise Ratio (SINR) of receive signals, thus it is recognized as the promising technologies and indispensable anti-jamming methods. This paper presents a practical design of smart antenna system for GPS/GLONASS anti-jamming base on adaptive beam-forming. It firstly introduces the basic concepts and principles of the smart antenna, provides the structure of the system, analyses and discusses each component, then designs a anti-jamming smart antenna for GPS and GLONASS, ultimately realizes a flexible hardware platform base on the technology of digital signal processor (DSP), field-programmable gate arrays (FPGA), and software defined radio (SDR).

[1]  Renbiao Wu,et al.  Adaptive anti-jamming algorithm based on the spatial and temporal characteristics of GPS signal , 2007, 2007 Asia-Pacific Conference on Communications.

[2]  R.K. Shevgaonkar,et al.  Design of smart antenna testbed prototype , 2003, 6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003.

[3]  Wei Sun,et al.  GPS interference suppression using self-coherent feature of GPS signals , 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

[4]  Alan R. Lindsey,et al.  Anti-jamming GPS receivers based on bilinear signal distributions , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[5]  Guo Wei,et al.  An Anti-Jamming GPS Receiver Based on Subspace Decomposition Method , 2009, 2009 International Conference on Communication Software and Networks.

[6]  Martin Haardt,et al.  Smart antenna technologies for future wireless systems: trends and challenges , 2004, IEEE Communications Magazine.

[7]  M.G. Amin,et al.  A self-coherence anti-jamming GPS receiver , 2005, IEEE Transactions on Signal Processing.