SIA OpenIR  > 海洋信息技术装备中心
The research on sea-bottom terrain tracking by AUV based on least squares method and Extended Kalman Filter
Xu HL(徐红丽); Chen G(陈巩); Jia QY(贾庆勇); Cao S(曹帅); Jiang M(蒋敏)
作者部门海洋信息技术装备中心
会议名称OCEANS 2016 - Shanghai
会议日期April 10-13, 2016
会议地点Shanghai, China
会议录名称OCEANS 2016 - Shanghai
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码1-4
收录类别EI ; CPCI(ISTP)
EI收录号20162902613092
WOS记录号WOS:000386521800068
产权排序1
ISSN号0197-7385
ISBN号978-1-4673-9724-7
关键词Auv Slope Estimate Bottom-following Ekf
摘要This paper studies the problem of undersea bottom-following through using the Autonomous Underwater Vehicle(AUV) equipped with Altimeter and Depth gauge. We can improve the ability of AUV to perceive the information of the seabed by using the Extended Kalman Filter(EKF) to complete the information fusion of data comes from Altimeter and Depth gauge. The seabed terrain slope is estimated by the least square method and then the trend of the seabed terrain can be predicted, which improve the ability of the AUV to track the seabed terrain. In the end, the seabed terrain tracking algorithm was verified by Matlab simulation, and the experimental results showed that the proposed method was effective.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18761
专题海洋信息技术装备中心
通讯作者Chen G(陈巩)
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Xu HL,Chen G,Jia QY,et al. The research on sea-bottom terrain tracking by AUV based on least squares method and Extended Kalman Filter[C]. Piscataway, NJ, USA:IEEE,2016:1-4.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
The research on sea-(294KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu HL(徐红丽)]的文章
[Chen G(陈巩)]的文章
[Jia QY(贾庆勇)]的文章
百度学术
百度学术中相似的文章
[Xu HL(徐红丽)]的文章
[Chen G(陈巩)]的文章
[Jia QY(贾庆勇)]的文章
必应学术
必应学术中相似的文章
[Xu HL(徐红丽)]的文章
[Chen G(陈巩)]的文章
[Jia QY(贾庆勇)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: The research on sea-bottom terrain tracking by AUV based on least squares method and Extended Kalman Filter.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。