Single-base station hybrid positioning algorithm based on LOS identification

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 fe...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2023-07, Vol.2023 (1), p.62-20, Article 62
Main Authors: Gao, Yang, Jiao, Zihan, Wu, Qiang, Dou, Xiaoyuan, Fan, Jiancun
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Angle of arrival
Communications Engineering
Decision trees
Engineering
ESPRIT
Genetic algorithms
Hyprid positioning
Information Systems Applications (incl.Internet)
Integrated Sensing and Communications with Emerging Wireless Technologies
Line of sight
LOS identification
Networks
NLOS mitigation
Propagation
Signal,Image and Speech Processing
Single-base station
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Summary: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.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-023-02263-2