IRNSS Receiver Position Estimation using Iterative Least Squares and Extended Kalman Filter

H. Varsha, S. Chougule, N. V. Vighnesam, K. Sudha
{"title":"IRNSS Receiver Position Estimation using Iterative Least Squares and Extended Kalman Filter","authors":"H. Varsha, S. Chougule, N. V. Vighnesam, K. Sudha","doi":"10.1109/ICATIECE45860.2019.9063805","DOIUrl":null,"url":null,"abstract":"The Indian Regional Navigation Satellite System (IRNSS), also known as NavIC- Navigation with Indian Constellation provides real time positioning and timing services. The NavIC receivers provide information related to both satellite and receiver. There are multiple algorithms which can be used for position estimations. In this paper, Iterative Least Squares and Extended Kalman Filter algorithms are proposed to estimate the unknown receiver position by taking clock bias of the receiver into consideration.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATIECE45860.2019.9063805","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

The Indian Regional Navigation Satellite System (IRNSS), also known as NavIC- Navigation with Indian Constellation provides real time positioning and timing services. The NavIC receivers provide information related to both satellite and receiver. There are multiple algorithms which can be used for position estimations. In this paper, Iterative Least Squares and Extended Kalman Filter algorithms are proposed to estimate the unknown receiver position by taking clock bias of the receiver into consideration.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于迭代最小二乘法和扩展卡尔曼滤波的IRNSS接收机位置估计
印度区域导航卫星系统(IRNSS),也被称为NavIC-导航与印度星座提供实时定位和授时服务。NavIC接收器提供与卫星和接收器相关的信息。有多种算法可用于位置估计。本文提出了迭代最小二乘法和扩展卡尔曼滤波算法,在考虑接收机时钟偏差的情况下估计未知接收机位置。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Customer Experience Enhancement Using Artificial Intelligence A Comprehensive Survey on Multi Object Tracking Under Occlusion in Aerial Image Sequences Smart Vehicle Driving System using Computer Vision based Hand Motion Tracking UIDBA: Unique Identity & Biometric Based Architecture for E-governance Solutions An Agent Cluster Based Routing Protocol for Enhancing Lifetime of Wireless Sensor Network
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1