AUV positioning using bathymetry matching

R. Beckman, A. Martinez, B. Bourgeois
{"title":"AUV positioning using bathymetry matching","authors":"R. Beckman, A. Martinez, B. Bourgeois","doi":"10.1109/OCEANS.2000.882248","DOIUrl":null,"url":null,"abstract":"A research concern in AUV positioning is the constraint of INS error growth; approaches to this include surfacing for GPS fixes, terrain matching methods and acoustic transponder systems. The paper presents a positioning technique for AUV's that exploits existing bathymetric data in an operation area. Unlike many terrain matching approaches, which do positioning using distinct ocean bottom features, this method generates a position estimate by comparing the in-situ measured depth at the position of the AUV with available bathymetry data in the immediate area. This builds on contemporary AUV INS/VL navigation systems by incorporating a maximum likelihood estimate of position. Particular emphasis is placed on the design of the maximum likelihood estimator module which produces point-wise position estimates and typically contains a large error component with many outliers. This estimate is merged with the output of the AUV's INS/VL system which constrains the INS drift. Further position accuracy and faster convergence to the correct position can be achieved by incorporating a single slant range measurement from the AUV to a fixed location. The slant range is used as external constraint on both the INS and the MLE. The paper describes the implementation of this approach and the results of simulation studies.","PeriodicalId":68534,"journal":{"name":"中国会展","volume":"1 1","pages":"2123-2127 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国会展","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1109/OCEANS.2000.882248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

A research concern in AUV positioning is the constraint of INS error growth; approaches to this include surfacing for GPS fixes, terrain matching methods and acoustic transponder systems. The paper presents a positioning technique for AUV's that exploits existing bathymetric data in an operation area. Unlike many terrain matching approaches, which do positioning using distinct ocean bottom features, this method generates a position estimate by comparing the in-situ measured depth at the position of the AUV with available bathymetry data in the immediate area. This builds on contemporary AUV INS/VL navigation systems by incorporating a maximum likelihood estimate of position. Particular emphasis is placed on the design of the maximum likelihood estimator module which produces point-wise position estimates and typically contains a large error component with many outliers. This estimate is merged with the output of the AUV's INS/VL system which constrains the INS drift. Further position accuracy and faster convergence to the correct position can be achieved by incorporating a single slant range measurement from the AUV to a fixed location. The slant range is used as external constraint on both the INS and the MLE. The paper describes the implementation of this approach and the results of simulation studies.
利用测深匹配进行水下航行器定位
水下航行器定位中的一个研究热点是惯导系统误差增长约束问题;解决这一问题的方法包括GPS定位、地形匹配方法和声学应答器系统。提出了一种利用作业区域现有水深数据的水下航行器定位技术。与许多利用海底特征进行定位的地形匹配方法不同,该方法通过将水下航行器所在位置的原位测量深度与邻近区域的可用测深数据进行比较来产生位置估计。这建立在现代AUV INS/VL导航系统的基础上,结合了位置的最大似然估计。特别强调的是最大似然估计器模块的设计,它产生点方向的位置估计,通常包含有许多异常值的大误差分量。该估计与AUV的INS/VL系统的输出合并,从而约束了INS漂移。通过整合从AUV到固定位置的单个倾斜范围测量,可以实现更高的位置精度和更快的收敛到正确位置。倾斜范围被用作INS和MLE的外部约束。文中介绍了该方法的实现和仿真研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
8254
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信