STAP for Non-side-looking Arrays using Knowledge-aided Covariance Estimation

摘要：

This paper presents a knowledge-aided STAP approach for NSL (non-sidelooking-arrays). Using a new secondary data selection method and an improved knowledge-aided covariance estimation (KACE) model for near range clutter, the performance of proposed approach is close to optimum and higher than the usual method that estimating covariance using only secondary data. The lack of training samples problem is also solved. Computer simulation results prove its validity.

关键词： non-side-looking arrays space-time adaptive processing (STAP) near range clutter Knowledge-aided covariance estimation (KACE)

作者: Tao Liu Hong-guang Ma

作者单位: The Second Artillery Engineering Colleague Xian, 710025, China

会议类型: 国际会议

会议名称: 2011 International Conference on Communication and Electronics Information(ICCEI 2011)(2011年通信和电子信息国际会议)

会议地点: 海口

会议语种:英文

页码: 140-144

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）