CAJ | 학술논문

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。
대우실제적다통도합성공경뢰체（Synthetic Aperture Radar ，SAR）계통，각접수통도향응지간불가피면지존재착일정정도적폭도화상위오차，위료득도교위만의적지면동목표현시（Ground Moving Target Indication ，GMTI ）성능，통상도회재잡파억제지전대통도간적폭도상위오차진행유효지교정。본문재기우회파수거상관구진특정분해적통도맹균형산법기출상，결합강유처리기술급중치고계방법，제출일충은건적다통도SAR/GMTI통도맹균형산법。실측수거실험결과표명：여원통도맹균형산법상비，본문소제산법불단수렴속도쾌，이차산법적유효성불수양본집중목표신호적영향。
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 pro-posed algorithm not only shows a faster convergence rate but also exhibits convergence-robustness to targets in the training sample data .