STEPPED-FREQUENCY ISAR MOTION COMPENSATION USING PARTICLE SWARM OPTIMIZATION WITH AN ISLAND MODEL

Abstract

This paper proposes a motion compensation method to compensate for the inter-pulse phase errors caused by the target movement in stepped-frequency ISAR imaging. For this purpose, genetic algorithm, particle swarm optimization (PSO) and PSO with an island model (PSOI) were applied in the proposed procedure. Simulation results using point scatterers and measured data show that PSOI is the most efficient in the proposed method.