Moving Target Detection via Efficient ATI-GoDec Approach for Multichannel SAR System

作者：Li, Jie^*; Huang, Yan; Liao, Guisheng; Xu, Jingwei

来源：IEEE Geoscience and Remote Sensing Letters, 2016, 13(9): 1320-1324.

DOI：10.1109/LGRS.2016.2584083

• Along-track interferometry go decomposition (ATI-GoDec) approach
• ground moving target indication (GMTI)
• multichannel synthetic aperture radar (MC-SAR)
• robust principal component analysis (RPCA)

Clutter suppression and ground moving target indication (GMTI) are challenging tasks for multichannel synthetic aperture radar (MC-SAR) systems. In recent years, robust principal component analysis (RPCA), such as the augmented Lagrange multiplier method (ALM) and go decomposition (GoDec) algorithm, has drawn considerable attention for its excellent performance in distinguishing the different parts from a set of correlative database. In this letter, an efficient along-track interferometry GoDec (ATI-GoDec) approach is proposed for GMTI in MC-SAR systems under a strong clutter background. The proposed method can be separated into two sections: the predetection and the postdetection. The predetection by an efficient ATI RPCA method can decrease missing targets, and postdetection with a novel magnitude and phase (M&P) detection has the ability to reduce the false targets. As a result, the proposed method can provide a more robust performance by a comparison to the traditional ATI detection. It can also widen the tolerant values of the preset cardinality and decrease the probability of false alarm compared with the conventional GoDec algorithm. Moreover, the proposed method only takes several iterations to reach the convergence by solving the optimization problem of the RPCA model, which makes it more efficient than the previous RPCA methods. The results by applying the proposed method into a set of real SAR data are consistent with the analysis presented in this letter.

• 出版日期2016-9
• 单位西安电子科技大学