Recursive Bayesian estimation to evaluate IR-counter-countermeasures performance of IR-seeker

Zhi Hong Wu, Jian Hua Wang, Jie Yan

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

More and more attention is paid 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_Counter_countermeasures 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 Bayesian estimation was validated through simulation.

源语言英语
页(从-至)764-767
页数4
期刊Xitong Fangzhen Xuebao / Journal of System Simulation
18
3
出版状态已出版 - 3月 2006

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