An Improved SVD Algorithm Based on Virtual Matrix
In this paper, an improved singular value decomposition (SVD) algorithm for high-resolution direction of arrival (DOA) estimation is proposed, which is based on virtual matrix, the SVD-VM algorithm for short. The virtual matrix is employed as the preprocessor for the uniform linear array (ULA), and then the rotational matrix in ESPRIT is used to estimate the directions of the coherent sources. The simulation results show that the SVD-VM algorithm provides higher resolution and robustness performance for coherent signals estimation than conventional singular value decomposition.
singular value decomposition (SVD) virtual matrix direction of arrival (DOA) low SNR coherent signal
Kang Jun Huang Dengshan Cai Huifu Wang Dajun
School of Electronics and Information Northwestern Polytechnical University Xian, Shaanxi, P. R. China
国际会议
长沙
英文
595-598
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）