Collocated MIMO radar beamforming with two side adaptivity

We propose a beamforming algorithm for collocated multiple-input multiple-output (MIMO) radar with two side adaptivity capability such that more active and inactive interferences can be suppressed at a low computational complexity and a low sample number requirement. Signals only with jamming and noise signals are used as training samples to obtain the weighting vector for receiving beamforming. After receiving beamforming, signals that may contain targets of interest are range compressed and then pass the adaptive transmitting beamforming to suppress inactive interferences. Numerical experiments show that this algorithm can suppress more interferences than the MIMO Capon algorithm, at a lower computation cost than the MIMO two-side beamforming algorithm.