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Dual Channels SAR Ground Moving Target Detection with Eigen-decomposition of the Sample Covariance Matrix |
Tian Bin Zhu Dai-yin Zhu Zhao-da |
College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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Abstract A novel approach to moving target detection is proposed for dual-channel SAR system. This approach is on the basis of eigen-decomposition of the sample covariance matrix and examines the statistic of the second eigenvalue and the Along-Track Interferometric (ATI) phase for ground moving target indication. Based on this statistic, a new Constant False Alarm Rate (CFAR) detector can be designed to solve the problem of GMTI. To detect slow moving targets more accurately, the second eigenvalue and the ATI phase pre-thresholds are implemented before a CFAR detector. Experimental results on measured SAR data are presented to demonstrate that this novel detector has wider range of detection velocity and lower false alarm probability.
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Received: 08 December 2009
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Corresponding Authors:
Tian Bin
E-mail: tianbin218@163.com
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