A Modified ESPRIT Algorithm Based on A New SVD Method for Coherent Signals

摘要：

In this paper,an improved high-resolution ESPRIT algorithm for direction of arrival (DOA)estimation of coherent signals is proposed,which is based on a new SVD method,the MSVD-ESPRIT algorithm for short.The main idea is to construct a matrix with the maximum eigenvector according to certain rules,then fix this matrix and get two signal subspaces by singular value decomposition;at the last we use the rotation invariant to get DOA.Simulation results indicated that compared with other improved algorithm,this improved ESPRIT algorithms resolution and robustness is obviously better,especially in low SNR case.

作者: Liyang Zhou Dengshan Huang Hongliang Duan Yulong Chen

作者单位: School of Electronics and Information Northwestern Polytechnical University Xian,P.R.China

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 75-78

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）