文章基本信息

标题：Adaptive Beamforming Algorithms for Anti-Jamming
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作者：Rana Liaqat Ali∗ ; Anum Ali∗ ; Anis-ur-Rehman 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2011
卷号：4
期号：1
出版社：SERSC
摘要：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.
关键词：Adaptive Array Signal Processing; Anti-Jamming; Optimized LMS Algorithm