Robust Covariance Matrix Estimation in Radar Array Processing

摘要：

Recently, several robust covariance matrix estimation techniques were proposed, such as normalized sample covariance matrix (NSCM) and fixed point matrix (FPM). They were claimed to be able to provide better performance for non-Gaussian clutter or in the presence of disturbance. In this paper, the performance of these robust covariance matrix estimators were evaluated and compared with the conventional sample covariance matrix (SCM) technique using both simulated and experimental data, in terms of target direction estimation accuracy and clutter suppression capability in space-time adaptive processing (STAP).

关键词： Covariance matrix estimation target direction estimation space-time adaptive processing (STAP)

作者: Xin GUO Hongbo SUN Yilong LU Marc LESTURGIE

作者单位: Temasek Laboratories, Nanyang Technological University, 50 Nanyang Drive, Singapore 637553 SONDRA Lab, Supelec, 3 rue Joliot-Curie, 91190 Gif-sur-Yvette, France ONERA-DEMR, Chemin de la Hunie

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: 356-359

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）