Direction-of-arrival estimation for uniform circular arrays under small sample size  

作　　者：Guojun Jiang Xingpeng Mao Yongtan Liu 

机构地区：[1]School of Electronics and Information Engineering, Harbin Institute of Technology [2]Collaborative Innovation Center of Information Sensing and Understanding, Harbin Institute of Technology

出　　处：《Journal of Systems Engineering and Electronics》2016年第6期1142-1150,共9页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61171180);the Fundamental Research Funds for the Cen tral Universities(HIT.MKSTISP.2016 13;HIT.MKSTISP.2016 26)

摘　　要：With a small number of snapshots, performances of uniform circular array (UCA) root-MUSIC based methods for directionof- arrival (DOA) estimation suffer serious degradation, because the beamspace sample covariance matrix (BSCM) severely deviates from the true one. To solve this problem, an iterative technique is proposed. The proposed technique has two key points: transform array data into beamspace data and construct a BSCM; modify the BSCM repeatedly by removing the residual parts. Meanwhile, error and beamspace leakage associated with the BSCM are investigated. The proposed technique can significantly reduce the error and the beamspace leakage which in turn could improve the performance for DOA estimation. Simulation results are given to illustrate the superiority of the proposed technique for uncorrelated and correlated signals. © 2016 Beijing Institute of Aerospace Information.With a small number of snapshots, performances of uniform circular array (UCA) root-MUSIC based methods for directionof- arrival (DOA) estimation suffer serious degradation, because the beamspace sample covariance matrix (BSCM) severely deviates from the true one. To solve this problem, an iterative technique is proposed. The proposed technique has two key points: transform array data into beamspace data and construct a BSCM; modify the BSCM repeatedly by removing the residual parts. Meanwhile, error and beamspace leakage associated with the BSCM are investigated. The proposed technique can significantly reduce the error and the beamspace leakage which in turn could improve the performance for DOA estimation. Simulation results are given to illustrate the superiority of the proposed technique for uncorrelated and correlated signals. © 2016 Beijing Institute of Aerospace Information.

关 键 词：Covariance matrix Error analysis ERRORS Iterative methods Matrix algebra 

分 类 号：TN911.7[电子电信—通信与信息系统]