制导工具系统误差分离的模型优选方法

The model optimization method for the guidance instrument systematic error separation

对制导工具系统误差分离模型参数优选方法进行了研究。根据制导工具系统误差系数与遥外差之间的关系,误差系数之间的相关性以及遥外差对各项误差的偏导数,综合判定某项误差系数是否应遴选入制导工具系统误差模型,从而克服了传统回归分析方法进行最优模型选择时未充分考虑制导工具系统误差分离应考虑的工程实际。仿真数据处理结果证明了文中方法实现制导工具系统误差模型系数优选的可靠性。

This work presents a model optimization method for guidance instrument systematic error separation. Based on the relationship between the parameter errors and the telemetry-tracking deviation, the eorrelativity of the parameter errors, and the partial derivative of the telemetry-tracking deviation to the parameter errors, the parameter errors are decided and select- ed in the model of guidance instrument systematic errors or not. That method can abundantly consider the engineering prac- tice, which is not abundantly considered in optimization of the model of guidance instrument systematic error separation u- sing the classical regression method. The simulation results show this model optimization method for guidance instrument systematic error separation is reliable.