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 search and Shannon entropy.Finally, the simulation results proves the effectiveness of this method according to three indexes as the total number of interception, the remained uncertainty of task domain and intercept time used.