最大互信息准则下的认知MIMO雷达波形设计

针对杂波背景下对认知多输入多输出(MIMO)雷达波形设计研究较少的问题,提出了一种基于最大互信息准则的波形设计方法。该方法结合一般认知雷达波形设计模型,以雷达发射功率作为约束条件,以最大化目标与接收回波间的互信息为目标,对认知MIMO雷达的波形设计问题进行建模,并采用卡尔曼滤波一步预测的方法对快速运动扩展目标的冲激响应进行预测,实现对目标的精准估计;同时,基于上述分析采用最大能量分配的方法进行波形设计。仿真实验表明,与传统的线性调频信号(LFM)相比,文中所提方法可以获得更多的信息量。

Cognitive MIMO Radar Waveform Design Based on Maximum Mutual Information Criterion

A method of waveform design based on maximum mutual information criterion is proposed for the parameter estimation of moving target in clutter environment. This method treats maximizing the mutual information of target with the corresponding received echo as objective to design waveform by the constraints on the radar transmitting power, constructing a model of waveform design for cognitive MIMO radar based on the model of waveform design for general cognitive radar. The target impulse response prediction is derived by the Kalman filter, achieving the accurate estimation of the target; a method of maximum energy distribution is used for waveform design on this basis. The simulation results show that the proposed method can obtain better performance of parameter estimation compared with the traditional linear frequency modulation signals.