Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction

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 is presented and the architecture described. Results on real dataset prove the effectiveness of the proposed approach.