Cuckoo Search Based Noncoherent Integration Method for Moving Target Detection Using Bistatic MIMO Radar

We proposed a noncoherent integration method which is applied to the bistatic multiple-input multiple-output (MIMO) radar to improve the detection performance of the radar system. Because each subarray echo is in different time delay units and Doppler frequency units after the moving target detection (MTD) processing, and it will bring difficulties to the non-coherent integration of the multi-subarray echoes. In order to solve it, we first regard this problem as an optimization problem, and search for the global optimal solution through the cuckoo search (CS). In other words, the optimization process is to complete the accurate estimation of the time delay and Doppler frequency differences between echoes. Then construct the corres-ponding compensation functions to achieve the noncoherent integration of the multi-subarray echoes. Finally, the effectiveness of the proposed method is verified by simulation experiments.