误差实时辨识在修正弹落点预测上的应用研究

摘要

由于外弹道观测数据比较复杂,为了提高修正弹的修正效果,可以将观测数据分为趋势项、周期项和随机误差项几个部分,在对趋势项进行最小二秉拟合和周期项进行识别后,分离出外弹道观测数据中的相关噪声和白噪声,并估计它们各自的误差特性及变化规律.仿真结果表明,在该误差实时辨识方法的基础上,修正弹能够达到很好的修正效果.%Because the observation data of exterior trajectory are comparative complex, for improving the correction effects of trajectory correction projectiles, the observation data can be divided into several parts as the trend term, the period term and the stochastic error term. After least square fitting for the trend term and identifying the period term, the correlated noises and white noises are separated out from the observation data of exterior trajectory, and their respective error characteristics and variation regularity are estimated. The results of simulation show that based on this real-time error identification method the trajectory correction projectiles can gain better correction effects.