中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Navigation system of a class of underwater vehicle based on adaptive unscented Kalman fiter algorithm

文献类型:期刊论文

作者Liu KZ(刘开周); Li J(李静); Guo W(郭威); Zhu PQ(祝普强); Wang XH(王晓辉)
刊名Journal of Central South University
出版日期2014
卷号21期号:2页码:550-557
关键词Algorithms Extended Kalman filters Navigation Navigation systems
ISSN号2095-2899
产权排序1
通讯作者刘开周
中文摘要Inherent flaws in the extended Kalman filter (EKF) algorithm were pointed out and unscented Kalman filter (UKF) was put forward as an alternative. Furthermore, a novel adaptive unscented Kalman filter (AUKF) based on innovation was developed. The three data-fusing approaches were analyzed and evaluated in a mathematically rigorous way. Field experiments conducted in lake further demonstrate that AUKF reduces the position error approximately by 65% compared with EKF and by 35% UKF and improves the robust performance.
WOS标题词Science & Technology ; Technology
类目[WOS]Metallurgy & Metallurgical Engineering
研究领域[WOS]Metallurgy & Metallurgical Engineering
关键词[WOS]FILTER
收录类别SCI ; EI
语种英语
WOS记录号WOS:000331960100016
源URL[http://ir.sia.cn/handle/173321/14610]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Liu KZ,Li J,Guo W,et al. Navigation system of a class of underwater vehicle based on adaptive unscented Kalman fiter algorithm[J]. Journal of Central South University,2014,21(2):550-557.
APA Liu KZ,Li J,Guo W,Zhu PQ,&Wang XH.(2014).Navigation system of a class of underwater vehicle based on adaptive unscented Kalman fiter algorithm.Journal of Central South University,21(2),550-557.
MLA Liu KZ,et al."Navigation system of a class of underwater vehicle based on adaptive unscented Kalman fiter algorithm".Journal of Central South University 21.2(2014):550-557.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。