Compressive sensing methods for radar cross section ISAR measurements
The compressive sensing algorithm BPDN applied to RCS ISAR measurements is investigated in this paper. It is used to acquire ISAR images from data sets that are incomplete if conventional back projection is used to process images. The aim of the study is to determine if the algorithm can be used to extract accurate RCS values for parts of the measured objects when there are azimuth angle gaps in t
