本文根据卡尔曼滤波理论,设计了一种对空中目标状态估计的算法,即卡尔曼滤波器。首先选择适合防空火控系统卡尔曼滤波器的坐标(?)直角坐标系,然后建立适合目标运动规律的随机加速度模型,接着针对防空雷达建立观测方程,讨论了初始条件的选择。并对该算法进行仿真分析。 Based on the Kalman filter theory, this paper designs an algorithm for estimating the state of air target, that is, Kalman filter. Firstly, the coordinate (?) Rectangular coordinate system suitable for the Kalman filter of air defense fire control system is selected, then a stochastic acceleration model suitable for the target motion is established, and then observation equations are established for the air defense radar. The selection of initial conditions is discussed. And the algorithm is simulated.