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The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited...
Compressive Sensing (CS) has been proven as an effective tool to reconstruct ISAR images from incomplete data. This capability is exploited in this paper to reconstruct images from gapped data which emulate the data received in a MIMO system, in which the transmitted signals are orthogonal. The proposed architecture can be exploited in the design of a MIMO ISAR system. In this paper the signal modelling...
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