一种去除多普勒频率野值及估计导弹脱靶量的方法

A Method of Removing the Outliers of Doppler Frequency and Estimating Missile Miss Distance

研究了利用引信多普勒频率遥测数据估计防空导弹脱靶量的方法。首先通过建立多普勒频率数学模型,将脱靶量估计表示为多普勒频率数据的非线性最小二乘拟合问题,并利用蒙特卡洛仿真验证了拟和算法的有效性;然后重点研究了去除多普勒频率野值的问题,通过分析野值的特殊性,给出了利用拟和估计和小波分解相结合判别、去除野值的具体方法,经仿真验证该方法满足脱靶量测量的精度要求。

A method of estimating antiair missile miss distance using Doppler frequency telemetering data of fuze is studied.A Doppler frequency mathematical model is established at first.Based on it,the estimation problem is represented as the nonlinear least square fitting of Doppler frequency data,and the effectiveness of the fitting method is proved by Monte-Carlo simulation.Then,the problem of removing the outliers of Doppler frequency is studied importantly.The property of the outliers of Doppler frequency is analyzed,and the specific steps of distinguishing and removing the outliers using fitting estimation and wavelet decomposition are given.The method is proved to accord with the accuracy demand of miss distance measurement by simulation.