计量学报2024，Vol.45Issue(2)：300-304,5.DOI:10.3969/j.issn.1000-1158.2024.02.22
基于贝叶斯滤波理论的目标命中概率估计与判决方法研究
The Research on Target Hit Probability Estimation and Judging Method Using Bayesian Filtering Theory
井沛良 1段宇 2蒋双双 1高宏1
作者信息
- 1. 中国人民解放军32180部队,北京 100072
- 2. 中国人民解放军第四军医大学空军特色医学中心,北京 100037
- 折叠
摘要
Abstract
In order to depress the wrong judging rate of the target hit probability during the ordnance test,a target hit probability estimation and judging method using Bayesian filtering theory is proposed.Through this method,the statistical mathematical model of target hit probability and experimental observation data is constructed.Then,based on Bayesian filtering theory,analytical expressions of posterior probability density function,posterior mean estimation and mean square error of hit probability are derived.We generate observation data based on different real target hit probabilities,and carry out estimation and decision experiments using traditional methods and the proposed methods respectively.The results show that the decision error rate of the proposed method is only 1/3 of that of the traditional method,which proves that the proposed method is feasible.关键词
几何量计量/目标命中概率/序列概率比检验/贝叶斯滤波理论Key words
geometric measurement/target hit probability/sequential probability ratio test/Bayesian filtering theory分类
通用工业技术引用本文复制引用
井沛良,段宇,蒋双双,高宏..基于贝叶斯滤波理论的目标命中概率估计与判决方法研究[J].计量学报,2024,45(2):300-304,5.
