Algorithms for compressed ISAR autofocusing

This paper is reporting some experimental results of compressed inverse synthetic aperture radar (ISAR) imaging. Autofocusing is applied on the sparse echoes, which consists of range alignment and phase correction as in conventional ISAR processing. Range alignment is implemented through minimizing the entropy of the average range profile, while phase correction is accomplished using the eigenvector method. Experimental results have validated the presented autofocusing scheme, and suggested further applicability of compressed sensing (CS) in the ISAR technique.