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Adaptive Beamforming Algorithms for Anti-Jamming
보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition vol.4 no.1 2011.03 pp.95-106
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
Smart antennas possess the capability of suppressing jamming signal, so they can improve signal to interference plus noise ratio (SINR). Array processing utilizes information regarding locations of signal to aid in interference suppression and signal enhancement and is considered promising technology for anti-jamming. In this paper we studied three beamforming algorithms, Least Mean Square (LMS) algorithm, Optimized-LMS algorithm and Recursive Least Squares (RLS) algorithm. Simulation results are presented to compare the ability of these three algorithms to form beam in the direction of desired signal and place null in the direction of interference signal. Dependency of these algorithm on SNR and SIR is also analyzed. It has been found that RLS algorithm is best suited for anti-jamming applications.
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