An ISAR Imaging Algorithm Based on RCA for Micro-Doppler Effect Suppression

In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusing. It will appear as azimuth interference sidebands and decrease image quality seriously. Therefore, studying the micro-Doppler suppression problem in practical applications is of great importance in high-quality imaging of ISAR. In this paper, a reasonable and effective mathematical model is established, and the m-D suppression algorithm inspired by the robust principal component analysis (RPCA) matrix reconstruction theory is proposed. Our algorithm transforms the problem of separating radar echoes into the decomposition of a low rank rotating components m-D signal matrix and a sparse main body ISAR image signal matrix. Moreover, experimental results based on simulated and real measured data are utilized to verify the effectiveness of our method.