Abstract
Multiple-input multiple-output (MIMO) radar systems have received much attention in recent times due to their ability to detect and estimate targets better. These radar systems utilize multiple transmit waveforms, either orthogonal or non-orthogonal, providing additional diversity to improve on delay-Doppler as well as angular resolutions. Recent advances in Compressive Sensing (CS) offer an effective means to address for further performance improvements in MIMO radar signal processing. CS based MIMO radar systems emphasize the inherent target sparsity in the target space and aim to achieve better resolution while using considerably reduced number of measurements; or significantly enhance the radar performance for the same number of measurements. The benefits of data volume reduction appears as savings in memory and power, as well as lowering the acquisition time. In this paper, a number of representative and recent articles pertaining to CS techniques in MIMO radar systems are reviewed and categorized. The discussion here particularly emphasizes the various design techniques that improve the MIMO radar performance.