线性模型的海基制导系统误差分离方法性能分析

Performance analysis on linear model of sea-based guidance systematic error separation method

利用传统制导工具系统误差线性回归模型,对Bayes估计、主成分分析以及正则化分析三种改进的分离方法进行比较,分析它们在工程应用上的优缺点,给出了实际应用时的限制因素;结合海基导弹特有的初始状态误差,设计整体估计、分段估计以及迭代估计三种估计策略,给出了相应的分离步骤。仿真结果表明,文中给出的三种误差分离方法在不同的评价标准下具有不同的实际应用意义;而在弹道差评价标准以及方差评价标准下,分段估计和迭代估计策略下的误差分离结果要明显好于传统整体估计结果。

Based on the traditional linear regression model of guidance instrumental systematic error,the advantages and disadvantages of three parameter estimation methods were compared,namely Bayes estimate,principal component analysis and regularization method,and the practical limitations were presented. Combined with the specific initial error of sea-based missile,three estimation strategies named overall were designed,namely piecewise and iteration estimate strategy and giving detail estimate procedures,and the following separation steps were provided. Results show that the principal component analysis and regularization method are better than Bayes estimation,and the new proposed estimation strategies are better than the traditional one.