Network‐based ionospheric gradient monitoring to support GBAS

NAVIGATION Pub Date : 2021-02-11 DOI:10.1002/navi.411
Maria Caamano, José Miguel Juan, Michael Felux, Daniel Gerbeth, Guillermo González‐Casado, Jaume Sanz
{"title":"Network‐based ionospheric gradient monitoring to support GBAS","authors":"Maria Caamano, José Miguel Juan, Michael Felux, Daniel Gerbeth, Guillermo González‐Casado, Jaume Sanz","doi":"10.1002/navi.411","DOIUrl":null,"url":null,"abstract":"Large ionospheric gradients acting between a Ground Based Augmentation System (GBAS) reference station and an aircraft on approach could lead to hazardous position errors if undetected. Current GBAS stations provide solutions against this threat that rely on the use of “worst‐case” conservative threat models, which could limit the availability of the system.","PeriodicalId":501157,"journal":{"name":"NAVIGATION","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAVIGATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/navi.411","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

Large ionospheric gradients acting between a Ground Based Augmentation System (GBAS) reference station and an aircraft on approach could lead to hazardous position errors if undetected. Current GBAS stations provide solutions against this threat that rely on the use of “worst‐case” conservative threat models, which could limit the availability of the system.
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
基于网络的电离层梯度监测支持GBAS
地面增强系统(GBAS)参考站和进场飞机之间的电离层梯度大,如果未被发现,可能导致危险的位置误差。目前的GBAS站提供的解决方案依赖于使用“最坏情况”的保守威胁模型,这可能会限制系统的可用性。
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
Detecting Slowly Accumulating Faults Using a Bank of Cumulative Innovations Monitors in Kalman Filters Improved Automatic Detection of GPS Satellite Oscillator Anomaly using a Machine Learning Algorithm Multi-Epoch 3D-Mapping-Aided Positioning using Bayesian Filtering Techniques Navigator Notes Study of structures of the sporadic E layer by using dense GNSS network observations
×
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