基于BP神经网络的雷达抗干扰能力评估

Evaluation of Anti-jamming Capability of Radar Based on BP Neural Network

为评估对空情报雷达抗电子干扰能力,针对对空情报雷达抗电子干扰所采用的措施,建立了抗电子干扰能力评估的层次模型,给出了基于BP神经网络的评估模型结构以及训练样本/验证样本的构造,并对某型雷达的仿真数据进行了计算,得到了与专家评定一致的结果.结果表明,该模型方法对评估对空情报雷达抗电子干扰能力具有可行性.

To evaluate anti-electronic jamming capability of air intelligence radar,a hierarchical model for performance evaluation of anti-electronic jamming was established,aimed at the measures taken by air intelligence radar anti-electronic jamming,and the structure of evaluation model based on BP neural networks and the makeup of training / test samples were presented.And then the simulation data of a certain type of radar was computed,via which the results identical with experts’evaluation were obtained.The results show that the model method is of feasibility for evaluation of anti-electronic jamming capability of air intelligence radar.