目标探测试验数据分布律检验及其应用

Target Detection Experiment Data Distribution Law Test and Application

为了研究目标探测试验数据误差分布规律,通过比较多种分布律检验,并使用Excel和Origin等数据处理、绘图软件技术,选用了皮尔逊(K.Pearson)检验方法,对大量目标探测试验数据实地进行统计,统计结果表明,数据是分段或部分符合正态分布.通过研究总体试验数据分布,改进后整体数据符合正态分布.说明对试验数据进行实地检验分析的方法,能提高靶场试验质量与水平、缩短试验周期,可广泛应用于武器装备的试验数据处理与分析实践.

To study error distribution law of target detection test data, K.Pearson χ^2 test method was chosen to count a great deal of target detection experiment data with the adoption of Excel, Origin and other data processing and drawing software technique through the comparison of distribution law test. Statistic results indicate that the data subsectionally or partially agree with the normal distribution, so does the total data distribution after improvement and subsection. It shows that the method of testing data on the spot may improve the quality and level of shooting test, and reduce the test periodical. It also can be widely used at data processing and analysis practice of weapon equipment.