DOA Estimation of Multiple Sources Based on Multiset Canonical Correlation Analysis

摘要：

It is an urgent task to improve the direction of arrival (DOA) estimation precision. To solve the problem of time difference DOA estimation is sensitive to interference and noise, this paper proposes a novel multiple sources DOA estimation algorithm based on multiset canonical correlation analysis (MCCA). The key technique of this DOA estimation method is blind separated the mixed signals from multiple moving sources by MCCA, translated the multiple sources DOA estimation problem to each source DOA estimation in turn, and removed the effect of interference and noise. The simulation results suggest that the estimation of time difference after MCCA processing is more accuracy and stabilization than direct correlation and after CCA processing, can greatly improve the performance of DOA estimation.

关键词： Direction of arrival (DOA) multiple sources time difference estimation multiset canonical correlation analysis blind source separation.

作者: Zemin Xi Huagang Yu Gaoming Huang Jianbin Lu

作者单位: Electronic Engineering College, Naval University of Engineering, Wuhan 430033, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1410-1413

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）