Robust Radial Velocity Estimation of Moving Targets Based on Adaptive Data Reconstruction and Subspace Projection Algorithm

被引：36

作者：

Shu, Yuxiang ^{[1
]}

Liao, Guisheng ^{[1
]}

Yang, Zhiwei ^{[1
]}

机构：

[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2014年 / 11卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Ground moving target indication (GMTI); parameter estimation; synthetic aperture radar (SAR); SAR; RADARSAT-2;

D O I：

10.1109/LGRS.2013.2287285

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

In practice, inevitable image coregistration error and channel phase mismatch will significantly degrade the estimation performance of the target radial velocity in the ground moving target indication processing with multichannel synthetic aperture radar (SAR) systems. To overcome this problem, a new radial velocity estimation method using the subspace projection (SP) algorithm with adaptive data reconstruction is proposed in this letter. Based on the joint-pixel signal model, the Wiener weight vector is used to reconstruct the multichannel data vector of the pixel containing the moving target. Then, the SP algorithm is adopted to deal with the radial velocity estimation with the reconstructed single "snapshot" data. The validity and robustness are verified by both simulations and real SAR data experiments.

引用

页码：1101 / 1105

页数：5

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