Simultaneous estimation of rotation velocity and center for ISAR cross-range scaling

In this paper, a novel algorithm estimating not only target´s rotation velocity (RV) but also rotation center (RC) is proposed for inverse synthetic aperture radar (ISAR) image cross-range scaling. Scale invariant feature transform (SIFT) is applied to two different ISAR images formed at different aspect angles for extracting non-fluctuating scattering points. Then, a criterion based on the distance between RC and locations of extracted features is optimized through the proposed algorithm based on particle swarm optimization (PSO) combined with exhaustive search method. Simulation results show that the proposed method can accurately estimate both RV and RC of a target.