一种对强目标信号污染稳健的自适应通道盲均衡方法

J4 ›› 2009, Vol. 36 ›› Issue (6): 1103-1107.

一种对强目标信号污染稳健的自适应通道盲均衡方法

周争光;廖桂生;朱圣棋

(西安电子科技大学雷达信号处理重点实验室，陕西西安 710071)

收稿日期:2008-11-11 出版日期:2009-12-20 发布日期:2010-01-20
通讯作者: 周争光
作者简介:周争光(1969-)，男，西安电子科技大学博士研究生，E-mail: zhou_z_g@sohu.com．
基金资助:
国家自然科学基金资助项目(60736009)

Robust channel blind balance approach to strong target signals contamination

ZHOU Zheng-guang;LIAO Gui-sheng;ZHU Sheng-qi

(Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2008-11-11 Online:2009-12-20 Published:2010-01-20
Contact: ZHOU Zheng-guang

摘要/Abstract

摘要：

针对强目标信号污染严重影响传统阵列流形校正算法通道均衡性能问题，提出了一种基于雷达回波数据模归一化矢量的自适应通道盲均衡算法．该方法首先构造与回波数据矢量对应的模归一化矢量，然后对其协方差矩阵进行特征分解，最后将回波数据矢量的各分量除以最大特征值对应的特征向量的相应分量实现通道均衡．理论分析和实测数据处理结果验证了该方法的稳健性．

关键词: 通道均衡, 稳健性, 模归一化矢量, 特征向量

Abstract:

A robust channel balance approach is proposed for a multi-channel SAR-GMTI system. Firstly, the modulus normalized vector corresponding to the pixel data vector is constructed and its covariance matrix is formed. Secondly, the eigen-decomposition is produced, and the eigenvector associated with the largest eigenvalue contains any information regarding channel imbalance. Lastly, the imbalance is corrected by dividing the element of the pixel data vector by the corresponding element of the selected eigenvector. The effectiveness and robustness of the proposed approach are confirmed by performance analysis and real data processing.

Key words: channel balance, robustness, modulus normalized vector, eigenvector

中图分类号:

TN957

周争光;廖桂生;朱圣棋. 一种对强目标信号污染稳健的自适应通道盲均衡方法[J]. J4, 2009, 36(6): 1103-1107.

ZHOU Zheng-guang;LIAO Gui-sheng;ZHU Sheng-qi. Robust channel blind balance approach to strong target signals contamination[J]. J4, 2009, 36(6): 1103-1107.

参考文献

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