两个声磁测点的数据关联

G. Dassot, R. Blanpain
{"title":"两个声磁测点的数据关联","authors":"G. Dassot, R. Blanpain","doi":"10.1109/DSPWS.1996.555528","DOIUrl":null,"url":null,"abstract":"This paper is dealing with the localisation problem of acoustic-magnetic sources moving in straight line at constant speed. Our technique is based on the association of acoustic Doppler and magnetostatic methods when two measurement sites are available. In that case the problem is not fully observable and a ghost solution remains. We present an extended Kalman filter with an extensive state vector and a linear observation equation. This structure ensures high convergence properties in case of poor initialisation as is shown on a comparative example.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Data association from two acoustic-magnetic measurement sites\",\"authors\":\"G. Dassot, R. Blanpain\",\"doi\":\"10.1109/DSPWS.1996.555528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is dealing with the localisation problem of acoustic-magnetic sources moving in straight line at constant speed. Our technique is based on the association of acoustic Doppler and magnetostatic methods when two measurement sites are available. In that case the problem is not fully observable and a ghost solution remains. We present an extended Kalman filter with an extensive state vector and a linear observation equation. This structure ensures high convergence properties in case of poor initialisation as is shown on a comparative example.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555528\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文研究匀速直线运动声磁源的定位问题。我们的技术是基于声学多普勒和静磁方法的结合,当两个测量点可用。在这种情况下,问题是不完全可见的,幽灵解决方案仍然存在。提出了一种扩展卡尔曼滤波器,它具有扩展状态向量和线性观测方程。这种结构保证了在初始化较差的情况下的高收敛性,如一个比较示例所示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data association from two acoustic-magnetic measurement sites
This paper is dealing with the localisation problem of acoustic-magnetic sources moving in straight line at constant speed. Our technique is based on the association of acoustic Doppler and magnetostatic methods when two measurement sites are available. In that case the problem is not fully observable and a ghost solution remains. We present an extended Kalman filter with an extensive state vector and a linear observation equation. This structure ensures high convergence properties in case of poor initialisation as is shown on a comparative example.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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