Research on single base station positioning based on intelligent reflecting surface

Tianbao Pan; Zhongliang Deng; Yanbiao Gao; Yuqi Huo; Jiawei He

doi:10.1117/12.3031000

19 July 2024 Research on single base station positioning based on intelligent reflecting surface

Tianbao Pan, Zhongliang Deng, Yanbiao Gao, Yuqi Huo, Jiawei He

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318115 (2024) https://doi.org/10.1117/12.3031000
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

Recent research on Intelligent Reflecting Surface (IRS), a promising emerging technology, has shown significant potential in positioning and sensing. This paper provides an overview of the current status of the IRS technology, including theoretical research, performance analysis, localization algorithms, and the interaction between localization and communication. Furthermore, a IRS-based single base station localization algorithm is proposed for single base station localization. The effectiveness of the algorithm is verified through simulations, demonstrating that sub-meter level localization can be achieved even under moderately favorable system parameter.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tianbao Pan, Zhongliang Deng, Yanbiao Gao, Yuqi Huo, and Jiawei He "Research on single base station positioning based on intelligent reflecting surface", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318115 (19 July 2024); https://doi.org/10.1117/12.3031000

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