Optimal waveforms for compressive sensing radar

The performance of conventional radar is foreseen to be improved by the implementation of compressive sensing (CS). CS is based on the assumptions of sparsity and incoherence. Here we connect the incoherence of the sensing matrix and the autocorrelation of a radar waveform, and use them as a measure for the design of an optimal waveform in CS based radar. We demonstrate the performance of the waveforms through both matched filtering and sparse signal recovery.