基于贝叶斯理论的电子支援侦察搜索调度方法  

Scheduling Method of Electronic Support Measure Based on Bayesian Theory

作　　者：杜浩[1] 毕大平[1,2] 李敏乐[1] DU Hao BI Da-ping LI Min-le(Electronic Engineering Institute, Hefei 230037, China Key Laboratory of Electronic Restriction of Anhui Province, Hefei 230037, China)

机构地区：[1]电子工程学院,合肥230037 [2]安徽省电子制约技术重点实验室,合肥230037

出　　处：《电光与控制》2017年第1期14-18,62,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61171170)

摘　　要：针对电子支援侦察中信号的搜索截获问题,在目标引导侦察接收系统工作的逆向思维指导下,首先通过Beta分布对已有情报信息进行融合处理,再根据贝叶斯方法更新得到下一时刻的概率分布值,最后结合最优搜索理论和熵的有关内容,给出了搜索调度的具体方法,并结合仿真从截获目标次数、侦察区域内不确定性减少量和侦察所用时长三项指标进行分析,证明了所提搜索调度方法的优越性。Considering the deficiency of signal interception in Electronic Support Measure （ESM）, a new method was proposed under the reverse thinking of taking the characteristics of targets as the primary index. First, the known intelligence from different sources is fused via Beta distribution, and then the probability distribution of the next moment is estimated by using the instrument of Bayesian theory. Based on the probability distribution, a resource scheduling method is proposed by using the theory of optimal searc, h and Shannon entropy. Finally, the simulation results proves the effectiveness of this method aceording to three indexes as the total number of interception, the remained uncertainty of task domain and intercept time used.

关 键 词：雷达对抗侦察 资源调度 搜索策略 贝叶斯理论 

分 类 号：TN971.5[电子电信—信号与信息处理]