指挥控制与仿真Issue(6)：10-14,5.DOI:10.3969/j.issn.1673-3819.2014.06.002
基于改进IMM-UKF的弹道导弹再入段跟踪数据滤波∗
Reentry-P hase Tracking of Unknown Ballistic Missiles Based on Improved IMM-UKF
摘要
Abstract
Radar tracking of a ballistic target in re⁃entry phase with unknown ballistic coefficient is a problem of nonlinear estimation, a variable⁃structure multiple mode based on Unscented Kalman filter has been proposed for it. UKF has been used as the basic filter for its more accurate, easier to implement, and uses the same order of calculations as linearization. The mode coefficients and IMM mode set is adaptively changed and then subsumes the true dynamic model according to the real time estimation of object state. Simulation shows it improves tracking precision effectively and makes computational com⁃plexity lower.关键词
弹道导弹跟踪/可变多模型/交互多模型/无迹卡尔曼滤波Key words
ballistic target tracking/variable-structure multiple mode/interact multiple mode/unscented Kalman filtering分类
军事科技引用本文复制引用
李相民,颜骥,刘丙杰,代进进..基于改进IMM-UKF的弹道导弹再入段跟踪数据滤波∗[J].指挥控制与仿真,2014,(6):10-14,5.基金项目
国防预研基金 （）
