中文摘要：

为了提高中段弹头跟踪收敛速度以及跟踪精度 , 提出了一种基于交互多模型 （ IMM） 的扩展卡尔曼滤波 （Extended Kalman Filter, EKF ）的跟踪算法.基于中段弹头加速度变化特点, 建立了目标的中段系统动力学模型及 量测模型, 通过引入速度测量值, 使用 IMM-EKF算法对中段目标进行跟踪.仿真结果表明 , 通过交互多模的非线 性滤波算法, 可以使中段跟踪收敛速度大为加快, 速度测量值的引入也使得跟踪精度有所提高, 并在弹头中段与再 入段衔接处有较好的跟踪性能; 验证了 IMM-EKF跟踪中段弹头的有效性.

英文摘要：

In order to improve the convergence rate and precision of midcourse target tracking, an algorithm based on IMM （Interaction Multiple Model）-EKF （ Extended Kalman Filter） was proposed. Based on the variation characteristic of acceleration of midcourse target, three-dimensional target-motion- model and measurements model were built by using velocity measured- value. A comparative analysis between IMM-EKF and traditional EKF was carried out. The simulation results show that IMM-EKF algorithm can improve the convergence rate of midcourse target tracking, and the tracking precision can also be improved by using velocity measured- value. The proposed filtering method has better tracking per-formance in midocurse, and it is effective.