ISAR imaging by integrated Compressed Sensing, range alignment and autofocus

Inhalt:
A new algorithm has been developed which integrates range alignment and autofocus for Inverse Synthetic Aperture Radar (ISAR) images to the framework of Compressed Sensing. This is accomplished by inserting a joint range alignment and phase correction step to the iteration loop of an Iterative Shrinkage and Thresholding Algorithm (ISTA). Results for focusing alone and for superresolution are presented which demonstrate the power of the algorithm.