一种对强目标信号污染稳健的自适应通道盲均衡方法

Abstract

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

CLC Number:

TN957

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.

References

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Robust channel blind balance approach to strong target signals contamination

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