Square root spherical simplex radial information filter

Wenyan Guo, Hualei Ling
{"title":"Square root spherical simplex radial information filter","authors":"Wenyan Guo, Hualei Ling","doi":"10.1109/ICSAI.2017.8248392","DOIUrl":null,"url":null,"abstract":"In order to further increase the precision of information filter, square root spherical simplex radial information filter (SRSSRIF) is put forward in the article. SRSSRIF is combined with square root filter and fused the spherical simplex radial rule (SSRR) into information filter. We utilize the rule of spherical simplex radial to choose the integral points and the computation of the corresponding weights. The efficiency of the new algorithm is demonstrated with a 3D Lorenz system and a two permanent magnet synchronous motor. Simulation results indicated that SRSSRIF can gain preferable precision compared with extended information filter (EIF) and square root unscented information filter (SRUIF) for single or multi-sensors system.","PeriodicalId":285726,"journal":{"name":"2017 4th International Conference on Systems and Informatics (ICSAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2017.8248392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to further increase the precision of information filter, square root spherical simplex radial information filter (SRSSRIF) is put forward in the article. SRSSRIF is combined with square root filter and fused the spherical simplex radial rule (SSRR) into information filter. We utilize the rule of spherical simplex radial to choose the integral points and the computation of the corresponding weights. The efficiency of the new algorithm is demonstrated with a 3D Lorenz system and a two permanent magnet synchronous motor. Simulation results indicated that SRSSRIF can gain preferable precision compared with extended information filter (EIF) and square root unscented information filter (SRUIF) for single or multi-sensors system.
平方根球面单纯形径向信息滤波器
为了进一步提高信息滤波的精度,本文提出了平方根球面单纯形径向信息滤波器(SRSSRIF)。将SRSSRIF与平方根滤波相结合,将球面单纯形径向规则(SSRR)融合为信息滤波。利用球面径向单纯形规则选择积分点并计算相应的权值。以三维洛伦兹系统和双永磁同步电机为例,验证了该算法的有效性。仿真结果表明,在单传感器和多传感器系统中,与扩展信息滤波器(EIF)和平方根无气味信息滤波器(SRUIF)相比,SRSSRIF具有更好的精度。
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
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