Improvement of Positioning in MIMO Radar Using Prior Information

A new category of radar systems that have been introduced in the last decade are MIMO radars. These systems have many advantages in terms of detecting and estimating target parameters compared to the previous systems. Due to the limitations of conventional positioning methods, to utilize all the advantages of MIMO radars, it is necessary to use new methods for signal processing. In this paper, the DOA estimation for MIMO radar is investigated using compact sensor methods. Given that in practical DOA estimation applications, there exists a prior information about the location of targets, in the proposed method(P1,2,w) by applying appropriate weighting, retrieving direction, amplitude and resolution of targets is done with smaller number of measurements and has better results. In this case, a 23% improvement over conventional methods is observed. Also, the recovery problem has been investigated for two measuring matrices, and according to the simulation results, the signal can be recovered with 8% less measurements by selecting the Gaussian measurement matrix instead of the partial identity measurement matrix.