DOA estimation of coexisted noncoherent and coherent signals via sparse representation of cleaned array covariance matrix  

作　　者：刘威 徐友根 刘志文 

机构地区：[1]School of Information and Electronics, Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》2013年第2期241-245,共5页北京理工大学学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China (61072098; 61072099; 60736006);PCSIRT-IRT1005

摘　　要：A new direction finding method is presented to deal with coexisted noncoherent and co- herent signals without smoothing operation. First the direction-of-arrival （DOA） estimation task is herein reformulated as a sparse reconstruction problem of the cleaned array covariance matrix, which is processed to eliminate the affection of the noise. Then by using the block of matrices, the information of DOAs which we pursuit are implied in the sparse coefficient matrix. Finally, the sparse reconstruction problem is solved by the improved M-FOCUSS method, which is applied to the situation of block of matrices. This method outperforms its data domain counterpart in terms of noise suppression, and has a better performance in DOA estimation than the customary spatial smoothing technique. Simulation results verify the efficacy of the proposed method.A new direction finding method is presented to deal with coexisted noncoherent and co- herent signals without smoothing operation. First the direction-of-arrival （DOA） estimation task is herein reformulated as a sparse reconstruction problem of the cleaned array covariance matrix, which is processed to eliminate the affection of the noise. Then by using the block of matrices, the information of DOAs which we pursuit are implied in the sparse coefficient matrix. Finally, the sparse reconstruction problem is solved by the improved M-FOCUSS method, which is applied to the situation of block of matrices. This method outperforms its data domain counterpart in terms of noise suppression, and has a better performance in DOA estimation than the customary spatial smoothing technique. Simulation results verify the efficacy of the proposed method.

关 键 词：direction-of-arrival （ DOA ） estimation sparse representation multipath propagation array signal processing 

分 类 号：TN911.23[电子电信—通信与信息系统]