[time]
2023-07-27T15:49:41+02:00

[track]
7

[team_name]
Byr_Trackers

[team_institution]
Beijing University of Posts and Telecommunications

[logolink]


[team_members]
Zhou Heyang, He Jiawei, Song Xudong, Li Shude, Zhang Haoyu, Dong Congrong, Zhang Zhichao, Ding Zhenke, Liu Bingxun, Ma Mingyang, Wang Jizhou

[reference_person]
Zhou Heyang

[reference_email]
zhouhy_1920@bupt.edu.cn

[description_short]
The proposed system consists of two main components: a fingerprint-based positioning system using 5G CSI for non-line-of-sight (NLOS) scenarios and a TOA based positioning system for line-of-sight (LOS) scenarios.
In the fingerprint positioning system, we want use a dual-branch CNN network that consists of two parallel sub-networks for amplitude and phase information, respectively. Each sub-network consists of multiple convolutional layers and pooling layers, followed by fully connected layers. The main algorithm of TOA based positioning system is the Nonlinear Least Squares positioning algorithm based on bilateral grid filtering.

[description_long_link]
https://drive.google.com/file/d/1PA2DjICS88_zXaNabix669PVC9IA9IhS/view?usp=sharing

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