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A transmitted, unknown radar signal is observed at the receiver through morethan one path in additive noise. The aim is to recover the waveform of theintercepted signal and to simultaneously estimate the direction of arrival(DOA). We propose an approach exploiting the parsimonious time-frequencyrepresentation of the signal by applying a new OMP-type algorithm forstructured sparsity patterns. An important issue is the scalability of theproposed algorithm since high-dimensional models shall be used for radarsignals. Monte-Carlo simulations for modulated signals illustrate the goodperformance of the method even for low signal-to-noise ratios and a gain of 20dB for the DOA estimation compared to some elementary method.

OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals