电子科技2012，Vol.25Issue(4)：6-8,12,4.
基于IMM-UKF的机动目标跟踪方法
Maneuvering Target Tracking Method Based on IMM-UKF
易凯 1刘伟 1张宝童1
作者信息
- 1. 中国电子科技集团公司第20研究所总体设计部,陕西西安710068
- 折叠
摘要
Abstract
Aiming at the uncertainty of target motion-mode and the nonlinearity of target motion model,this paper proposes an Interacting Multiple Model（IMM） algorithm based on Unscented Kalman Filter（UKF）.The constant velocity model,the constant acceleration model,the coordinated turn model for fixed angular velocity and the ＂current＂ statistical model are chosen as the model set,and the Unscented Kalman Filter is proposed to realize the nonlinear state estimation.The simulation results show that this algorithm has higher tracking performance than the traditional IMM algorithm.关键词
目标跟踪/无味卡尔曼滤波/交互式多模型/非线性估计Key words
target tracking/UKF/IMM/nonlinear estimation分类
信息技术与安全科学引用本文复制引用
易凯,刘伟,张宝童..基于IMM-UKF的机动目标跟踪方法[J].电子科技,2012,25(4):6-8,12,4.
