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Radar Adaptive Range Sidelobe Suppression Based on Recursive MSNR Criteria


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Radar Adaptive Range Sidelobe Suppression Based on Recursive MSNR Criteria
ZHANG Jin-dongGU ChenZHU Xiao-huaLI Yu-sheng
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
adaptive radars sidelobes suppression maximal signal-to-noise rate criteria recursive functions
A sidelobe compression algorithm based on recursive maximum signal-to-noise ratio(MSNR) is proposed to solve the problem that the weak target may be covered by the range sidelobe of the strong one in pulse compression radar.This algorithm uses the apriori information obtained by recursive function to adaptively suppress range sidelobes.An algorithm principle is first deduced,then algorithm steps are given according to it,and the algorithm is optimized.Theory and simulation results show that this algorithm can effectively and reliably suppress sidelobes and has better sidelobe suppression performance in extracting single targets in high and low signal-to-noise ratio(SNR) and single moving targets and multiple adjacent moving targets in high SNR than adaptive algorithms of minimum mean square error criteria.


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Last Update: 2012-11-19