ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM

Abstract

This paper proposes an accurate method to obtain Inverse Synthetic Aperture Radar (ISAR) images of multiple targets. The existing method using the Hough transform and edge detection has a demerit that its fitting ability of flight trajectory is not sufficient if a range profile has high order terms. For better quality of ISAR imaging, we use particle swarm optimization (PSO) to find residual high order coefficients. Simulation results show that two moving targets are successfully separated from each other.