基于卡尔曼滤波的目标飞行体预测

Target flying body forecast base on Kalman filter

在卡尔曼滤波出现以前,已经建立了采用最小二乘法处理观测数据和采用维纳滤波方法处理平稳随机过程的滤波理论。卡尔曼滤波以其物理意义直观的时间域语言和有限时间内的数据观测及简单的递推方法对高速飞行体进行实时的预测和跟踪。本文提出了匀速和匀加速运动目标的运动模型,通过卡尔曼滤波算法进行预测跟踪并对其进行仿真。

Before kalman filtering occurs,filtering theory of stationary random process using the least squares method observational data and Wiener has been established.Kalman filteringwhich has intuitive physical meaning of its time-domain language and the data within a limited ime and a simple recursive method of observation can forecast and track for high-speed flightbody with real-time.This paper presents a target motion model of uniform and constant acceleration,and predict track and its simulation through the Kalman filter algorithm.