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Single-base station hybrid positioning algorithm based on LOS identification

  • Yang Gao
  • , Zihan Jiao
  • , Qiang Wu
  • , Xiaoyuan Dou
  • , Jiancun Fan
  • Xi'an Institute of Surveying and Mapping
  • Xi'an Jiaotong University

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
文章编号62
期刊Eurasip Journal on Wireless Communications and Networking
2023
1
DOI
出版状态已出版 - 12月 2023

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