摘要
Bayes估计在武器系统性能评估中受到越来越多的重视,提出采用递进的Bayes估计方法,充分利用导引头研制过程中各阶段的实验数据,综合评估红外导引头抗干扰性能。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,导出了各攻击区内实验样本的比重。最后以数字仿真验证了该方法的可行性。
More and more attention is paied to Bayesian estimation methods in the performance evaluation of the weapon system, A recursive Bayesian method, in which the test data of all research phases were used to synthetically evaluate IR Seeker IR_Countercountermeasures performance. The Analytic Hierarchy Process （AHP） was used to analyze the influence of samples. The proportion of samples in the respective attacking areas was educed. Finally, the feasibility of the recursive Bayes estimation was validated through simulation.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第3期764-767,共4页
Journal of System Simulation
基金
空军装备部十五预研课题(402070201)
关键词
BAYES估计
层次分析法
红外抗干扰
性能评估
Bayesian Estimation
Analytic Hierarchy Process
IR-Counter-Countermeasures
Performance Evaluation
