Compressed Sensing ISAR Reconstruction in the Presence of Rotational Acceleration

In this paper, we present an inverse synthetic aperture radar (ISAR) reconstruction method from compressively sensed data using a new dictionary that takes into account rotational acceleration. Unlike traditional compressed sensing (CS) ISAR imaging methods, where the dictionary either ignores this acceleration or assumes the scatterers as static, our method can deal with maneuvering motion consisting of rotational acceleration. The method can also focus images when data are not acquired in a continuous frame. The effectiveness of the method is demonstrated by analysis. Simulation examples verify this analysis and show that the presented method can focus data consisting of scatterers undergoing rotational acceleration.