NON-STATISTICAL TRANSFORMED DATA DOMAIN STAP ALGORITHM FOR NON-HOMOGENEOUS ENVIRONMENT
This paper introduces a new non-statistical STAP algorithm which is efficient and powerful in nonhomogeneous environment. The traditional statistical algorithms using the estimated interference covariance are not optimal in heterogeneous clutter. The non-statistical approach which uses primary data only and is appropriate to extremely heterogeneous case is presented. The Transformed Data Domain (TDD) algorithm which is more simple and efficient compared to the original Direct Data Domain (D3) algorithm is proposed. The received space-time signal is transformed to beam-doppler domain and weight to minimize interferences is obtained in this space. The performance of the proposed non-statistical STAP is tested in SIRV clutter model environment and compared to that of the approach which employs traditional statistical algorithm.
Eunjung Yang Joohwan Chun Jonghoon Chun
Division of Electrical Engineering Department of Electrical Engineering & Computer Science,KAIST,373 SAMSUNG THALES CO.Ltd,Chang-Li 304,Namsa-myun,Cheoin-gu,Yongin-city,Gyeonggi-do
国际会议
首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)
安徽黄山
英文
2007-11-05（万方平台首次上网日期，不代表论文的发表时间）