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基于BP神经网络的雷达抗干扰能力评估
引用本文:蔡轶,陈四军. 基于BP神经网络的雷达抗干扰能力评估[J]. 空军雷达学院学报, 2010, 24(4): 271-273. DOI: 10.3969/j.issn.1673-8691.2010.04.011
作者姓名:蔡轶  陈四军
作者单位:1. 空军雷达学院科研部,武汉,430019
2. 通信指挥学院仿真中心,武汉,430010
摘    要: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.

关 键 词:雷达抗干扰  BP神经网络  层次模型

Evaluation of Anti-jamming Capability of Radar Based on BP Neural Network
CAI Yi,CHEN Si-jun. Evaluation of Anti-jamming Capability of Radar Based on BP Neural Network[J]. Journal of Air Force Radar Academy, 2010, 24(4): 271-273. DOI: 10.3969/j.issn.1673-8691.2010.04.011
Authors:CAI Yi  CHEN Si-jun
Affiliation:1.Division of Scientific Research,AFRA,Wuhan 430019,China;2.Simulation Center,CCA,Wuhan 430010,China)
Abstract: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.
Keywords:radar anti-jamming  BP neural networks  hierarchical model
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