Strong Clutter Suppression via RPCA in Multichannel SAR/GMTI System

作者：Dong Yang, Yang Xi, Guisheng Liao, Shengqi Zhu · 发表于：IEEE Geoscience and Remote Sensing Letters · 年份：2015 · DOI：10.1109/lgrs.2015.2461654 · 被引用次数：70 · 研究领域：Advanced SAR Imaging Techniques、Sparse and Compressive Sensing Techniques、Synthetic Aperture Radar (SAR) Applications and Techniques

Clutter suppression and ground moving target indication are challenging tasks in multichannel synthetic aperture radar (SAR) systems. In recent years, robust principal component analysis (RPCA) has attracted much attention for its good performance in distinguishing the different parts from a set of correlative database. Therefore, we propose a fast RPCA-based detection method for multichannel SAR under a strong clutter background in this letter even with channel unbalance or platform motion error. Subsequently, as the existing space-time adaptive processing (STAP) method would fail when the training samples are contaminated by the moving target, we apply the RPCA-based method in the range-Doppler domain to improve the performance of STAP. Since the regions of targets can be detected via RPCA, the remaining samples, which can be regarded as only clutter, are used to estimate the covariance matrix for further processing. The final experiments based on real measured data set show its good performance under the strong clutter background. Although the RPCA-based result differs from that of the STAP method, they can work cooperatively to get a more robust detection performance.