基于贝叶斯网络的防空雷达毁伤效果评估研究  

Research on damage evaluation of air defense radar based on Bayesian network

作　　者：曲婉嘉 周兴旺[1] 刘颖[1] 徐忠林[1] 

机构地区：[1]空军航空大学,吉林长春130022

出　　处：《电子设计工程》2016年第6期121-124,共4页Electronic Design Engineering

摘　　要：本文针对防空雷达目标,结合防空雷达的毁伤特性,提出了基于贝叶斯网络的毁伤评估模型。该模型将图像情报和电子情报相结合作为评估指标的考虑因素,克服了传统单一途径来源情报的不确定性,使得评估结果更为可靠。同时在贝叶斯网络模型中引入无人机侦察、雷达发射功率和目标辐射谱差异三个证据变量,以验证先前评估结果的准确性。为防空雷达目标的毁伤评估与建模提供了新的方法,同时,利用仿真实验对比验证了该模型的有效性。In the light of air defense radar, combined with the damage characteristics of air defense radar, an evaluation model which is based on Bayesian network is put forward.This model makes image intelligence and electronic intelligence combined as evaluation indexes, overcoming the uncertainty of traditional single intelligence source, which makes the evaluation result more reliable. Meanwhile, UAV reconnaissance, difference of target radiation spectrum and mission power of radar are drawn into this model to verify the accuracy of previous evaluation results. This model avoids traditional damage evaluation limitation, putting forward a new method for air defense radar targets＇ damage evaluation and modeling. What is more, the simulation examples demonstrate the validity of the model.

关 键 词：防空雷达 毁伤评估 贝叶斯网络 BP神经网络 

分 类 号：TN95[电子电信—信号与信息处理]