Joint time reversal and compressive sensing based localization algorithms for multiple-input multiple-output radars

The source localization problem for multiple-input, multiple-output (MIMO) radars was recently formulated by Yu et al. [7] in the compressive sensing (CS) framework. The resulting CS/MIMO radar achieves high resolution in joint direction and Doppler estimation, which is more pronounced with sparse data. However, the CS/MIMO technology does not operate well in environments with multipath, as is the case for low-angle targets located over flat surfaces. The paper applies the principle of time reversal (TR) to the CS/MIMO radar to converge the TR probing signal on the target leading to a stronger backscatter from the target as compared to the ones received from surrounding clutter. Monte Carlo simulations verify the superiority of the CSTR/MIMO radar over its CS/MIMO version without TR.