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

Zhi Hong Wu, Jian Hua Wang, Jie Yan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)764-767
Number of pages4
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume18
Issue number3
StatePublished - Mar 2006

Keywords

  • Analytic hierarchy process
  • Bayesian estimation
  • IR-counter-countermeasures
  • Performance evaluation

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