5G-Aided RTK Positioning in GNSS-Deprived Environments

This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on realtime 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-depa...

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Bibliographic Details
Published in2023 31st European Signal Processing Conference (EUSIPCO) pp. 825 - 829
Main Authors Zheng, Pinjun, Liu, Xing, Ballal, Tarig, Al-Naffouri, Tareq Y.
Format Conference Proceeding
LanguageEnglish
Published EURASIP 04.09.2023
Subjects
5G mobile communication
5G/6G
ambiguity resolution
Global navigation satellite system
GNSS
localization
Location awareness
Phase measurement
RTK
Satellites
Signal processing algorithms
Simulation
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Summary:This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on realtime 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.
ISSN:2076-1465
DOI:10.23919/EUSIPCO58844.2023.10289726