面向多运动扩展目标的认知MIMO雷达波形设计OA

In order to solve the problem of boosting cognitive MIMO radar for multiple moving target detection in cluttered backgrounds,this paper constructs a multi-target optimization model based on the dual mutual information criterion,takes in-to account the problem of linear variation of the motion target impulse response(TIR),estimates the TIR at the next moment by using Kalman filtering algorithm.Then the optimal frequency-domain waveforms by using the water-filling algorithm is a-dopted,and the time-domain waveforms of the cognitive MIMO radar by using the genetic algorithm is synthesized.With sim-ulation verification,the algorithm can meet the needs of MIMO radar to observe multiple targets and realize the effective esti-mation of the impulse response of moving targets,which can improve the performance of multiple moving targets detection compared with the traditional fixed signal.