主动段弹道定位与跟踪算法

THE TRAJECTORY LOCATING AND TRACKING ALGORITHM IN BOOST PHASE

针对预警卫星测量方程的非线性,利用传统方法(如EKF)不可避免地会带来线性化误差.该文提出了几何定位卡尔曼滤波(GL-KF)方法,在主动段弹道位于过地心平面的假设下,根据2颗卫星的角度测量解算出导弹位置,将测量方程转化为线性模型,减小了测量方程非线性所带来的估计误差.在得到位置信息后,利用Kalman Filter实现对主动段导弹的跟踪.通过Monte-Carlo仿真可以看出,该方法较之EKF滤波有更好的估计精度.

The traditional method （EKF） would bring about the linearization error of the measurement equation. Based on the assumption that the trajectory in boost phase is in a plane via the earth＇s core, a GL-KF Geometry Location and Filter method is presented. With this assumption the missile position was calculated on the basis of the satellite angle observations, and then the nonlinear measurement equation is transformed into the linear equation, which reduced the linearization error of measurement equation. The Kalman Filter was applied for the trajectory tracking using the position information.