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Single-base station hybrid positioning algorithm based on LOS identification.

Authors :
Gao, Yang
Jiao, Zihan
Wu, Qiang
Dou, Xiaoyuan
Fan, Jiancun
Source :
EURASIP Journal on Wireless Communications & Networking. 7/13/2023, Vol. 2023 Issue 1, p1-20. 20p.
Publication Year :
2023

Abstract

In the complex multipath propagation environment, whether there is a line of sight (LOS) path will directly affect the positioning accuracy. Therefore, this paper proposes a single base station hybrid positioning algorithm based on LOS identification. In the algorithm, we first construct multiple features based on channel state information with LOS and without LOS in statistical distribution and use these features and gradient boosting decision tree to determine whether there is a LOS path in the environment. Then for the environment with a LOS path, we proposed a positioning method based on the estimation of signal parameters via rotation invariant technology algorithm which can be used to jointly estimate the angle of arrival and time delay of the LOS path for positioning, while for the environment without LOS path, we propose a positioning method based on adaptive genetic algorithm. Finally, a single base station hybrid positioning algorithm based on LOS identification and the corresponding positioning methods. Simulation results show that the proposed hybrid positioning algorithm can achieve high-precision positioning in the complex multipath propagation environment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16871472
Volume :
2023
Issue :
1
Database :
Academic Search Index
Journal :
EURASIP Journal on Wireless Communications & Networking
Publication Type :
Academic Journal
Accession number :
164899568
Full Text :
https://doi.org/10.1186/s13638-023-02263-2