Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources  

作　　者：GAO Yang XU Jia JIA Xin 

机构地区：[1]Academy of Equipment [2]School of Information and Electronics, Beijing Institute of Technology

出　　处：《Science China Chemistry》2015年第12期213-215,共3页中国科学（化学英文版）

基　　金：supported by Program for New Century Excellent Talents in University of Ministry of Education of China(Grant No.NCET-13-0049);National Natural Science Foundation of China(Grant No.61271391);China Ministry Research Foundation(Grant No.9140A21050114HT05338)

摘　　要：Dear editor,The source number and direction of arrival （DOA） estimation are two important subjects in array sig- nal processing [1,2]. Many algorithms for estimating these parameters have been proposed in the past decades [3-7]. The common approach for determining the source number is to use a certain informa- tion theoretic criterion [3,4] in an additive white Gaussian noise （AWGN） environment, e.g., the AIC and MDL criteria. Conventional DOA estimation algorithms can be roughly classified into two types, beamforming techniques and eigenstructure-based methods [4-7], such as the Capon, MUSIC and Root- MUSIC algorithms. In addition, the rnCapon method [5] has been proposed to improve the resolution performance of the Capon algorithm by using an adjustable power parameter rn.Dear editor,The source number and direction of arrival(DOA)estimation are two important subjects in array signal processing[1,2].Many algorithms for estimating these parameters have been proposed in the

关 键 词：估计方法 DOA 特征 接头 

分 类 号：TN911.7[电子电信—通信与信息系统]