中段弹头IMM-EKF跟踪方法及性能分析  

Tracking Midcourse Target and Error Analysis

作　　者：熊智敏[1] 王党卫[1] 马晓岩[1] 

机构地区：[1]空军预警学院三系,武汉430019

出　　处：《弹道学报》2016年第4期17-23,共7页Journal of Ballistics

基　　金：国家自然科学基金项目(61179015;61401503)

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。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.

关 键 词：中段弹头跟踪 交互多模型 扩展卡尔曼滤波 

分 类 号：TN957[电子电信—信号与信息处理]