Large Bistatic Angle ISAR Imaging via Compressed Sensing

Abstract

Aiming to improve image resolution of bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) when the bistatic angle increases, a novel imaging method of high resolution Bi-ISAR based on compressed sensing (CS) theory is proposed. High resolution Bi-ISAR imaging is achieved by constructing a fine and complete orthogonal Fourier basis, which can perfectly extract Doppler frequency of a Bi-ISAR signal and does not directly relate with bistatic angle change. An optimization reconstruction algorithm, gradient projection (GP), is used to reconstruct the higher resolution images of Bi-ISAR at large bistatic angle. Simulated Bi-ISAR data are used to generate Bi-ISAR images of aircraft target. Imaging results show that the proposed CS approach is much effective in Bi-ISAR imaging.