A MUSIC like DOA estimation method for signals with low SNR

摘要：

A new kind of noise subspace based direction-of-arrival (DOA) estimation method is proposed. Unlike the MUSIC algorithm ,the novel MUSIC like method use signal subspace estimated by Multi-Stage Wiener Filter (MSWF) instead of array steering vectors for orthogonality test. Simulation shows that the proposed method offers improvements in precision and resolution performance for signals with low SNR,compared to MUSIC and ESPRIT algorithms.

关键词： Array signal processing DOA estimation Multi-Stage Wiener Filter MUSIC

作者: Jin Wang Yongjun Zhao Zhigang Wang

作者单位: Zhengzhou Information Science and Technology Institute

会议类型: 国际会议

会议名称: 2008 Global Symposium on Millimeter Waves(GSMM 2008)(2008全球毫米波学术大会)

会议地点: 南京

会议语种:英文

页码: 321-324

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）