Localization for mixed near-field and far-field sources under impulsive noise  

作　　者：GAO Hongyuan ZHANG Yuze DU Ya’nan CHENG Jianhua CHEN Menghan 

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2期302-315,共14页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(62073093);the initiation fund for postdoctoral research in Heilongjiang Province(LBH-Q19098);the Natural Science Foundation of Heilongjiang Province(LH2020F017).

摘　　要：In order to solve the problem that the performance of traditional localization methods for mixed near-field sources(NFSs)and far-field sources(FFSs)degrades under impulsive noise,a robust and novel localization method is proposed.After eliminating the impacts of impulsive noise by the weighted out-lier filter,the direction of arrivals(DOAs)of FFSs can be estimated by multiple signal classification(MUSIC)spectral peaks search.Based on the DOAs information of FFSs,the separation of mixed sources can be performed.Finally,the estimation of localizing parameters of NFSs can avoid two-dimension spectral peaks search by decomposing steering vectors.The Cramer-Rao bounds(CRB)for the unbiased estimations of DOA and range under impulsive noise have been drawn.Simulation experiments verify that the proposed method has advantages in probability of successful estimation(PSE)and root mean square error(RMSE)compared with existing localization methods.It can be concluded that the proposed method is effective and reliable in the environment with low generalized signal to noise ratio(GSNR),few snapshots,and strong impulse.

关 键 词：source localization far-field source(NFS) near-field source(FFS) impulsive noise Cramer-Rao bound(CRB) 

分 类 号：TN911.7[电子电信—通信与信息系统]