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面向诸元计算精度鉴定的二次抽样试验设计方法
引用本文:刘明辉,谢婷婷,石景岚,张占全. 面向诸元计算精度鉴定的二次抽样试验设计方法[J]. 火力与指挥控制, 2012, 37(7): 139-142,146
作者姓名:刘明辉  谢婷婷  石景岚  张占全
作者单位:解放军63891部队,河南洛阳,471003
摘    要:针对诸元计算精度常规试验方法的缺点和不足之处,提出了"二次抽样"的试验设计方法,在一次抽样的基础上,通过对试验结果进行分析,进行第二次有针对性的抽样试验,并采用贝叶斯估计方法,对两次相关联的试验结果进行综合评价。最后采用该方法对某型炮兵指控系统的诸元计算精度进行了检验,证明了该方法的实用性和有效性。与常规试验方法相比,二次抽样法对诸元计算中各变量不同值域的权重进行了重新分配,其计算结果对被试装备的实际性能更具有指向性。

关 键 词:诸元计算精度  二次抽样  贝叶斯估计

A Secondary Sampling Experimental Design Method Oriented to the Error Statistic of Firing Data Calculation
LIU Ming-hui , XIE Ting-ting , SHI Jing-lan , ZHANG Zhan-quan. A Secondary Sampling Experimental Design Method Oriented to the Error Statistic of Firing Data Calculation[J]. Fire Control & Command Control, 2012, 37(7): 139-142,146
Authors:LIU Ming-hui    XIE Ting-ting    SHI Jing-lan    ZHANG Zhan-quan
Affiliation:(Unit 63891 of PLA,Luoyang 471003,China)
Abstract:The error statistic of firing data calculation is one of the most important criterion for designing at all echelons of artillery or command and control system of air defense force,and is also the common evaluating content for this type of equipments in approval test.In this paper,aiming at the deficiency in the conventional test methods for the error statistic of firing data calculation,a secondary sampling experimental design method is proposed.This method can be divided into two steps,the first step is conventional sampling,and the second is a pertinent sampling based on the experement results of first sampling.By using Bayesian estimation method,two associated test results are evaluated comprehensively.Finally,this method is testified in the case of firing data error statistic of a certain type of artillery command and control system,and proved to be practical and effective.Compared with the conventional test method,twice sampling method redistribued the weights of the different ranges of each variable in firing data calculation,and made the statistic results more directional for the actual performance of the equipment.
Keywords:error statistic of firing data  secondary sampling  Bayesian estimation
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