Liu Shu-jun, Yuan Yun-neng, Mao Shi-yi. The Method of Moving Target Detection Based on the Eigen-Decomposition of the Single-Channel SAR Image Sequence[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1876-1880. doi: 10.3724/SP.J.1146.2008.00241
Citation:
Liu Shu-jun, Yuan Yun-neng, Mao Shi-yi. The Method of Moving Target Detection Based on the Eigen-Decomposition of the Single-Channel SAR Image Sequence[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1876-1880. doi: 10.3724/SP.J.1146.2008.00241
Liu Shu-jun, Yuan Yun-neng, Mao Shi-yi. The Method of Moving Target Detection Based on the Eigen-Decomposition of the Single-Channel SAR Image Sequence[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1876-1880. doi: 10.3724/SP.J.1146.2008.00241
Citation:
Liu Shu-jun, Yuan Yun-neng, Mao Shi-yi. The Method of Moving Target Detection Based on the Eigen-Decomposition of the Single-Channel SAR Image Sequence[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1876-1880. doi: 10.3724/SP.J.1146.2008.00241
The method of moving target detection based on eigen-decomposition of the covariance matrix is proposed for single-antenna airborne SAR. First the paper points out that the sub-image is obtained through frequency processing. The imaging difference of sub-images as the result of the sub-aperture division is rectified using the adaptive 2D-calibration. The magnitude and phase difference can be corrected at the same time and the sub-images like the multi-channel can be obtained. Then the developed method combines the concept of multi-channel samples covariance matrix. The fundament of the separation between clutter and moving target based on the decomposition of the sub-image sample covariance matrix is analyzed. The estimation of the sample covariance matrix in image brings the inconsistency between the accuracy and the decrease of the targets energy. The improved method of estimation is calculated in range-doppler domain is proposed and the moving target is indicated based on the second eigenvalues. Simulation results demonstrate that the method is effective.
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