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Robust moving targets detection and velocity estimation using multi-channel and multi-look SAR images

Authors :
Zhu, Shengqi
Liao, Guisheng
Zhou, Zhengguang
Qu, Yi
Source :
Signal Processing. Jun2010, Vol. 90 Issue 6, p2009-2019. 11p.
Publication Year :
2010

Abstract

Abstract: For the sake of the robustness to ground moving targets indication (GMTI) for synthetic aperture radar (SAR) in heterogeneous environment, a new approach using multi-channel and multi-look SAR images is presented. This approach has been shown to attain improved suppression of monostatic clutter over its counterpart (the multi-channel and single-look algorithm). In this approach, the joint data vector is utilized which has robustness to image coregistration and deleterious system errors in practice. Consequently, a series of radial velocity estimation approaches are presented. The estimation accuracy can be improved by the multi-look algorithms. Experimental airborne SAR data illustrates the effectiveness of the proposed GMTI schemes. It is shown that, compared with conventional single-look algorithms, the multi-look approach can obtain better clutter cancellation performance and more accurate velocity estimation. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01651684
Volume :
90
Issue :
6
Database :
Academic Search Index
Journal :
Signal Processing
Publication Type :
Academic Journal
Accession number :
48375631
Full Text :
https://doi.org/10.1016/j.sigpro.2010.01.003