西安电子科技大学学报（自然科学版）Issue(1)：35-41,7.DOI:10.3969/j.issn.1001-2400.2015.01.006
一种采用协方差矩阵稀疏表示的D OA估计方法
DOA estimation method by utilizing sparse representation of the covariance matrix
摘要
Abstract
A direction of arrival (DOA) estimation method based on a new sparse representation model of the covariance matrix is proposed.Without requiring the prior-knowledge on the noise level,the proposed method only utilizes partial information on the covariance matrix for the DOA estimation and provides robustness to noise at the cost of a tiny aperture loss.Although the proposed method is based on the statistical information on samples (i.e.,covariance matrix),its principle is different from that of the traditional high-resolution DOA estimation methods (e.g.,MUSIC,CAPON).The proposed method can effectively distinguish the signal sources with any coherence without decorrelation processing.关键词
稀疏表示/波达方向估计/高分辨/协方差矩阵/多帧测量/相关信号Key words
sparse representation/direction-of-arrival estimation/high-resolution/covariance matrix/multiple measurement/correlative signal分类
信息技术与安全科学引用本文复制引用
解虎,冯大政,袁明冬..一种采用协方差矩阵稀疏表示的D OA估计方法[J].西安电子科技大学学报（自然科学版）,2015,(1):35-41,7.基金项目
国家自然科学基金资助项目(61271293) （61271293）
