Direction finding of bistatic MIMO radar in strong impulse noise  

作　　者：CHEN Menghan GAO Hongyuan DU Yanan CHENG Jianhua ZHANG Yuze 

机构地区：[1]College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China [2]College of Intelligent Systems Science and Engineering,Harbin Engineering University,Harbin 150001,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第4期888-898,共11页系统工程与电子技术（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(62073093);the Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province(LBH-Q19098);the Heilongjiang Provincial Natural Science Foundation of China(LH2020F017);the Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology.

摘　　要：For bistatic multiple-input multiple-output(MIMO)radar,this paper presents a robust and direction finding method in strong impulse noise environment.By means of a new lower order covariance,the method is effective in suppressing impulse noise and achieving superior direction finding performance using the maximum likelihood(ML)estimation method.A quantum equilibrium optimizer algorithm(QEOA)is devised to resolve the corresponding objective function for efficient and accurate direc-tion finding.The results of simulation reveal the capability of the presented method in success rate and root mean square error over existing direction-finding methods in different application situations,e.g.,locating coherent signal sources with very few snapshots in strong impulse noise.Other than that,the Cramér-Rao bound(CRB)under impulse noise environment has been drawn to test the capability of the presented method.

关 键 词：bistatic multiple-input multiple-output(MIMO)radar impulse noise direction finding lower order covariance quan-tum equilibrium optimizer algorithm(QEOA) maximum likeli-hood estimation method Cramér-Rao bound(CRB) 

分 类 号：TN958[电子电信—信号与信息处理]