5G-Aided RTK Positioning in GNSS-Deprived Environments

Pinjun Zheng, Xing Liu, Tarig Ballal, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on real-time kinematic (RTK) technique. Specifically, the user's position is estimated based on the hybrid measurements, including GNSS pseudo-ranges, GNSS carrier phases, 5G angle-of-departures, and 5G channel delays. The underlying estimation problem is solved by steps that comprise obtaining the float solution, ambiguity resolution, and resolving the fixed solution. The analysis results show that the involvement of 5G observations can enable localization under satellite-deprived environments, inclusive of extreme cases with only 2 or 3 visible satellites. Moreover, extensive simulation results reveal that with the help of 5G observations, the proposed algorithm can significantly reduce the estimation error of the user's position and increase the success rate of carrier-phase ambiguity resolution.

Original languageEnglish (US)
Title of host publication31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages825-829
Number of pages5
ISBN (Electronic)9789464593600
DOIs
StatePublished - 2023
Event31st European Signal Processing Conference, EUSIPCO 2023 - Helsinki, Finland
Duration: Sep 4 2023Sep 8 2023

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference31st European Signal Processing Conference, EUSIPCO 2023
Country/TerritoryFinland
CityHelsinki
Period09/4/2309/8/23

Bibliographical note

Publisher Copyright:
© 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.

Keywords

  • 5G/6G
  • ambiguity resolution
  • GNSS
  • localization
  • RTK

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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