ISAR imaging based on divariate empirical mode decomposition and Wigner-Ville Distribution

An Inverse Synthetic Aperture Radar (ISAR) imaging method based on Bivariate Empirical Mode Decomposition (BEMD) and Wigner-Ville Distribution (WVD) is proposed in this paper. This method effectively reduces the cross-term interference and has less false frequency, leading to better quality of reconstructed image. Simulation results verify the better performance of proposed BEMD-WVD method compared with WVD method and Complex Empirical Mode Decomposition (CEMD) with WVD (CEMD-WVD) method.