信息工程大学学报2023，Vol.24Issue(5)：533-538,543,7.DOI:10.3969/j.issn.1671-0673.2023.05.004
基于SAMV-SML的主瓣干扰抑制算法
Mainlobe Interference Suppression Algorithm Based on SAMV-SML
摘要
Abstract
To solve the problems of beam distortion and main lobe offset in adaptive beamforming un-der main lobe interference,main lobe interference suppression algorithm based on sparse asymptotic minimum variance stochastic maximum likelihood(SAMV-SML)is proposed.The SAMV-SML algo-rithm is used to accurately estimate the target azimuth and power,reconstruct the sidelobe interfer-ence noise covariance matrix,so as to avoid introducing the expected signal into the weight vector.According to the estimated main lobe interference azimuth and expected azimuth,the correlation co-efficient is used to judge the main lobe interference feature vector,construct the eigen-projection ma-trix processing matric,and achieve multi main lobe interference suppression.Simulation results show that the algorithm can achieve beam shape preservation,faster convergence speed and higher output signal to interference noise ratio.In addition,the ability of the algorithm to deal with coherent main lobe interference is also verified.关键词
主瓣干扰抑制/特征投影预处理/相干主瓣干扰/旁瓣干扰噪声协方差矩阵重构Key words
main lobe interference suppression/eigen-projection matrix processing/coherent main lobe interference/reconstruction of covariance matrix of side lobe interference noise分类
信息技术与安全科学引用本文复制引用
李鹏赛,许海韵,王彬,孙明磊..基于SAMV-SML的主瓣干扰抑制算法[J].信息工程大学学报,2023,24(5):533-538,543,7.
