Application Research of Bayers Theorem in Accuracy Testing Assessment of Precision Guided Munition
Abstract- To precision guided munition (PGM), the sample size of batch of products for inspenction is small, but the large nunber prior infomation is proposed for accuracy testing of PGM. According to these physical circumstances, the writer does some application research of Bayers Theorem in accuracy testing assessment of PGM under the condition of small sample size. Fistly, we can gain the the credibility of each prior infomation source by consistent test, and then count the parameters of distribution on the assumption that the landing error deviation of PGM is in nomal de-ganma distribution. Secondly we chose the iheweighted method based on credibility to syncretize the prior information of multiple sources. At last the accuracy of PGM can be calculated by Bayers algorithm. This article demonstrates that the new algorithm on Bayers Theorem is more better than conventional method and it is more reasonably applied in accuracy testing assessment of PGM.
precision guided munition small sample size information fusion Bayes algorithm
Li Tiangang Chang Lei
New Star Research Institute of Applied Technology, Hefei, 230031, China The Academy of Armored Forces Engineering, Beijin 100072, China
国际会议
长春
英文
328-330
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）