摘要
对于实际的多通道合成孔径雷达(Synthetic Aperture Radar,SAR)系统,各接收通道响应之间不可避免地存在着一定程度的幅度和相位误差,为了得到较为满意的地面动目标显示(Ground Moving Target Indication,GMTI)性能,通常都会在杂波抑制之前对通道间的幅度相位误差进行有效地校正.本文在基于回波数据相关矩阵特征分解的通道盲均衡算法基础上,结合降维处理技术及中值估计方法,提出一种稳健的多通道SAR/GMTI通道盲均衡算法.实测数据实验结果表明:与原通道盲均衡算法相比,本文所提算法不但收敛速度快,而且算法的有效性不受样本集中目标信号的影响.
The channel mismatch is often inevitable for the actual multi-channel synthetic aperture radar/ground moving tar- get indication （SAR/GMTI） system. Consequently, to enhance GMTI performance, the channel mismatch must be effectively cali- brated. A robust channel blind equalization algorithm is investigated. This proposed algorithm is on the basis of the classical channel blind equalization algorithm with eigen-decomposition of data covariance matrix, and combines reduced-dimension processing and median estimate. Experimental results on measured SAR data demonstrate that compared with the conventional algorithm, this proposed algorithm not only shows a faster convergence rate but also exhibits convergence-robustness to targets in the training sample data.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2014年第3期424-431,共8页
Acta Electronica Sinica
基金
国家自然科学基金(No.61071165)
教育部新世纪优秀人才支持计划(No.NCET-09-0069)资助课题
中央高校基本科研业务费专项基金(No.NS2012097)
教育部博士点基金(No.20123218120021)
关键词
地面动目标检测
通道盲均衡
降维处理
中值估计
ground moving target detection （GMTI）
channel blind equalization
reduced-dimension processing
median es-timate
