Cognitive MIMO radar waveform design for multiple moving extended targets

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 into 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 adopted, and the time-domain waveforms of the cognitive MIMO radar by using the genetic algorithm is synthesized. With simulation verification, the algorithm can meet the needs of MIMO radar to observe multiple targets and realize the effective estimation of the impulse response of moving targets, which can improve the performance of multiple moving targets detection compared with the traditional fixed signal.