关于UKF方法的新探索及其在目标跟踪方面的应用

张树春; 胡广大; 刘思华

引用本文:	张树春,胡广大,刘思华.关于UKF方法的新探索及其在目标跟踪方面的应用[J].控制理论与应用,2006,23(4):569~574.[点击复制]
	ZHANG Shu-chun, HU Guang-da, LIU Si-hua .New development of UKF and its applications in target tracking on re-entry[J].Control Theory and Technology,2006,23(4):569~574.[点击复制]

关于UKF方法的新探索及其在目标跟踪方面的应用

New development of UKF and its applications in target tracking on re-entry

摘要点击 1663 全文点击 731 投稿时间：2005-04-25 修订日期：2005-10-13

查看全文查看/发表评论下载PDF阅读器

DOI编号

2006,23(4):569-574

中文关键词非线性滤波 Unscented变换迭代目标跟踪

英文关键词 nonlinear filtering Unscented transformation iteration target tracking

基金项目

作者	单位
张树春,胡广大,刘思华	哈尔滨工业大学控制科学与工程系,黑龙江哈尔滨150001

中文摘要

在跟踪和控制领域,和被广泛采用的推广卡尔曼滤波(extended Kalman filter)方法相比较,近年发展起来的Unscented卡尔曼滤波(Unscented Kalman filter)具有易于实现、计算量相当而精度较高等诸多优点．本文深入探讨了这一方法,并以目标跟踪为背景,提出了两种基于Unscented变换的新的滤波方法,分别在算法的精确和快速两个方向上进行了尝试,仿真结果表明,这种探索是行之有效的．

英文摘要

Compared with the widely used extended Kalman filter (EKF) in tracking and control community, the advantages of recently developed filtering algorithm called Unscented Kalman filter are significant with its ease to tune, better accuracy and same order of computational complexity. Based on the Unscented transformation, two new filtering algorithms are presented, intending to improve the precision and to raise the speed respectively. Performance and implementation in target tracking on reentry show their efficiency.