Robust channel blind equalization algorithm for multi-channel SAR/GMTI system

被引：0

作者：

Tian, Bin ^{[1
]}

Zhu, Dai-Yin ^{[2
]}

Wu, Di ^{[2
]}

Tao, Man-Yi ^{[3
]}

Zhu, Zhao-Da ^{[2
]}

机构：

[1] Xi'an Electronics and Engineering Research Institute, Xi'an, Shaanxi 710100, China

[2] College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China

[3] Shanghai Institute of Satellite Engineering, Shanghai 200240, China

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2014年 / 42卷 / 03期

关键词：

Blind equalization algorithm - Conventional algorithms - Data covariance matrix - Eigen decomposition - Faster convergence - Ground moving targets - Median estimate - Moving target indication;

D O I：

10.3969/j.issn.0372-2112.2014.03.002

中图分类号：

学科分类号：

摘要：

The channel mismatch is often inevitable for the actual multi-channel synthetic aperture radar/ground moving target indication (SAR/GMTI) system. Consequently, to enhance GMTI performance, the channel mismatch must be effectively calibrated. 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.

引用

页码：424 / 431

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