An MPGA-Based Parameter Estimation Method for FDA-MIMO Radar Under Antenna Location Errors

This letter investigates the problem of joint estimation of range and angle in the presence of antenna location errors via a novel self-calibration method in frequency diverse array multiple-input multiple-output radars. Specifically, the proposed method is based on the combination of the multiple population genetic algorithm and the multiple signal classification algorithm. The Cramér-Rao bounds are combined for target parameters and antenna location errors are derived as the performance benchmark. Numerical results verify the effectivity of the proposed calibration method.