About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23–24, 2021, Proceedings, Part I

Research Article

Design of On-Orbit Monitoring System for GNSS Signal Quality Based on Intelligent Processing

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-90196-7_49,
        author={Qibing Xu and Zhimei Yang and Lixin Zhang},
        title={Design of On-Orbit Monitoring System for GNSS Signal Quality Based on Intelligent Processing},
        proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I},
        proceedings_a={AICON},
        year={2021},
        month={11},
        keywords={GNSS signal Quality monitoring Intelligent processing},
        doi={10.1007/978-3-030-90196-7_49}
    }
    
  • Qibing Xu
    Zhimei Yang
    Lixin Zhang
    Year: 2021
    Design of On-Orbit Monitoring System for GNSS Signal Quality Based on Intelligent Processing
    AICON
    Springer
    DOI: 10.1007/978-3-030-90196-7_49
Qibing Xu1, Zhimei Yang1, Lixin Zhang1
  • 1: Xi’an Institute of Space Radio Technology

Abstract

Global Navigation Satellite System (GNSS) signal is the medium that provides users with navigation, positioning and timing. The signal quality determines the user’s service level and accuracy. GNSS signal quality includes signal continuity and accuracy. Satellite in-orbit service requires timely ground monitoring. There are more and more satellites, and ordinary monitoring methods cannot meet the real-time monitoring. It is necessary to adopt intelligent monitoring methods to realize autonomous on-orbit monitoring. This article introduces a GNSS signal on-orbit intelligent monitoring system, including the composition of the system, intelligent monitoring process, monitorable indicators and monitoring methods. This solution has been applied to current monitoring stations, which greatly simplifies the complexity of monitoring. To improve the efficiency of monitoring.

Keywords
GNSS signal Quality monitoring Intelligent processing
Published
2021-11-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-90196-7_49
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL