SECOND-ORDER STATISTICS APPROACH TO THE CENTRAL DOA ESTIMATION FOR COHERENTLY DISTRIBUTED SOURCE
The problem of estimating the central direction of arrival (DOA) of a source surrounded by a large number of local scatterers is addressed under a coherently distributed source model. The integral steering vector is deduced to be a Schur-Hadamard product comprising point source steering vector and a real vector. And then the second-order blind estimator is proposed to estimate the central DOA without any prior knowledge about angular signal intensity. In addition, the presented algorithm gives a closed-form solution to the central DOA. So it has reduced complexity without any peak-finding searching and eigenvalue decomposition or singular value decomposition. Specifically, it is shown from simulation results that the second-order statistics approach exhibits good estimation performance for a coherently distributed source.
Array signal processing Distributed source The central DOA Angular spread Second-order statistics
YINGHUA HAN JINKUAN WANG QIANG ZHAO XIN SONG
Northeastern University at Qinhuangdao, Northeastern University, Shenyang, Liaoning Province, 110004, China
国际会议
The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)
大连
英文
673-682
2008-12-18（万方平台首次上网日期，不代表论文的发表时间）