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作 者:张倩倩 于鸿源 刘杨杨 刘丽巧 纪秀美 ZHANG Qianqian;YU Hongyuan;LIU Yangyang;LIU Liqiao;JI Xiumei(Unit 31002,Beijing 100094,China)
机构地区:[1]31002部队,北京100094
出 处:《信息工程大学学报》2024年第5期615-619,共5页Journal of Information Engineering University
摘 要:从统计的角度,引入序贯滤波算法,在每次引入新的炸点数据值后,从多批次观测中逐步迭代提取误差信息,精确估计火炮射击误差分布的参数,进而进行火炮误差校正。首先,运用最小二乘原理和极大似然估计原理,给出营诸元误差、每门火炮诸元误差和散布误差方差参数估值公式,建立火炮射击误差模型。其次,利用序贯滤波算法迭代计算得出参数估值。最后,通过算例分析验证模型的可行性,结果表明序贯滤波算法对火炮射击误差参数估值精度的提高具有较好的效果。From a statistical perspective,the introduction of sequential filtering algorithms involves it⁃eratively extracting error information from multiple batches of observations after each introduction of new detonation point data values,to accurately estimate the parameters of the artillery firing error dis⁃tribution,and then to correct the artillery errors.Firstly,the principles of least squares and maximum likelihood estimation are used to provide formulas for estimating the errors of various elements,the er⁃rors of each artillery piece,and the variance parameters of the dispersion error,thereby establishing a model for artillery firing errors.Secondly,the sequential filtering algorithm is used to iteratively calcu⁃late the parameter estimates.Finally,the feasibility of the model is verified through case analysis,and the results show that the sequential filtering algorithm has a good effect on improving the accuracy of artillery firing error parameter estimation.
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