Compressive sensing MIMO radar imaging based on inverse scattering model

From the view of inverse scattering imaging, the paper gives basic principle of MIMO radar imaging, then applies compressive sensing (CS) to two methods. The first method is sampling and receiving echoes randomly in both frequencies and channels. The second method is sampling echoes randomly only in frequencies, and controllable space intersection is done in channels to increase the practicability. Both methods can achieve high image resolution using few echo samples. The first method has better imaging quality, but the second method is more controllable. Ulteriorly, the simulation gives detailed analysis of imaging quality and reconstruction successful probability, which is beneficial to applications of CS to MIMO radar imaging.