基于混合罚函数法的认知雷达波形设计

针对认知雷达发射波形的信杂噪比(SINR: Signal to Interference plus Noise Ratio) 往往需要大于一定阈值的问题, 在传统波形设计准则的基础上建立一种新的认知雷达波形发射系统模型。此模型以目标与回波间的互信息为目标函数, 以信杂噪比和能量作为约束条件, 通过混合罚函数法对模型求解, 最终获得认知雷达的最优波形。仿真实验证明, 该波形可以将波束能量分配给杂波响应较弱、目标响应较强的频段, 满足认知雷达对发射波形的要求, 从而解决了发射波形的SINR 阈值问题, 并最大化目标与回波间的互信息, 具有较强的应用性。

Cognitive Radar Waveform Design Based on Mixed Penalty Function Method

Aiming at the issue that the SINR ( Signal to Interference plus Noise Ratio) of cognitive radar waveform always needs to meet certain threshold in the real Cognitive radar system, establish a new launch system model of cognitive radar based on two traditional waveform design criteria. This model takes the mutual information between the target and the echo waveform as the objective function with the constraints of SINR and energy. This paper solves the model by mixed penalty function and gets the optimal waveform of cognitive radar.The simulation results show that the waveform can assign the beam energy to the band which clutter beam energy response is weak and the target response is strong, meets the requirements of cognitive radar. So it solves the issue of the threshold of the SINR. It also maximizes the mutual information between the torget and the echo waveform. The proposed waveform design method has high practical significance.