Generalized multiple scatterer algorithm for ISAR phase compensation

In inverse synthetic aperture radar (ISAR) imaging, the random phase errors of the inverse synthetic aperture must be compensated. This paper presents a generalized multiple scatterer algorithm (GMSA) for ISAR phase compensation. Experimental data processing and simulations show that the image noise can be reduced significantly with the proposed method.