采用递进Bayes估计评估导弹控制系统抗干扰性能及仿真

A Recursive Bayes Method is Used to Simulate and Evaluate IR-Counter-Countermeasures Performance of IR-Seeker

B ayes估计在武器系统性能评估中受到越来越多的重视,文中提出采用递进的B ayes估计方法,充分利用导弹研制过程中各阶段的实验数据,综合评估红外导弹控制系统抗干扰性能。文章采用层次分析法分析了试验样本采集对评估结果的影响,导出了各特征弹道的样本比重。最后以数字仿真验证了该方法的可行性。

People pay more and more attention to Bayes method in the performance evaluation of weapon system. A recursive Bayes method is introduced to evaluate the performance in this paper. The experiment data of all research phases are used to synthetically evaluate IR-counter-countermeasures performance of missile control system with the method. The Analytic Hierarchy Process （AHP） is adopted to analyse the influence of samples. And the proportioll of samples in the respective diagnostic trajectories is educed. At the end the feasibility of the recursive bayes method is validated by data simulation.