"Time-frequency analysis of sparse MIMO radar"
Holger, RauhutThe application of compressive sensing methods to radar is particularly promising because the assumption of sparsity can often be easily justified. The measurement process is usually modeled by random matrices with time-frequency structure. Their analysis leads to challenging mathematical problems. I will discuss several instances of radar signal processing tasks including randomly positioned antenna arrays and MIMO radar with random waveforms and present (near-)optimal bounds on the number of measurements ensuring recovery of sparse radar scenes.