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作 者:李晓斌[1] 韩世龙 卢道伟[1] Li Xiaobin;Han Shilong;Lu Daowei(Troops No.92941,Huludao 125000,Liaoning;Rocket Force University of Engineering,Xi’an 710025,Shaanxi)
机构地区:[1]92941部队,辽宁葫芦岛125000 [2]火箭军工程大学,陕西西安710025
出 处:《火箭军工程大学学报》2024年第4期47-53,共7页Journal of Rocket Force University of Engineering
摘 要:为解决导弹大射程命中精度评估中子样数不足的问题,提出将小射程飞行试验信息折合为大射程飞行试验样本、序贯选取仿真试验信息和采用Bayes方法融合飞行试验信息与仿真试验信息得到混合样本的方法,进行导弹纵向和横向偏差的均值和方差估计,进而开展导弹命中精度的综合评定。算例结果表明:该方法可用于导弹大射程命中精度评估。In order to address the issue of insufficient medium subsamples for evaluating missile long-range hit accuracy,a method converting short-range flight test data into long-range flight test samples and sequentially selecting simulation test information was proposed.Additionally,mixed samples fusing the flight data and simulation test data were evaluated by Bayes method to obtain the mean and variance estimation of missile longitudinal and lateral deviations.Accordingly,the missile hit accuracy could be comprehensively evaluated.Calculation results verified that the proposed method could be used to evaluate missile long-range hit accuracy.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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