[time]
2023-07-10T05:21:47+02:00

[track]
8

[team_name]
GoD

[team_institution]
Beijing University of Posts and Telecommunications

[logolink]


[team_members]
Kai Luo, Ziyao Ma, Yanbiao Gao, Jizhou Wang, Deming Zhu, Yuqi Huo, Tianbao Pan,  Xudong Song

[reference_person]
Jizhou Wang

[reference_email]
wangjizhou1028@163.com

[description_short]
According to the provided information of track 8, we proposed a scheme to obtain the high-accuracy position based on the combination of UL-TDOA and AI localization methods. 

Our scheme can be divided into four major parts. The first three parts show the preparatory works including preprocessing of training data, machine learning based location estimation and outlier calibration. The last part shows the process of the final test, which includes: 1. Use the trained model to get a tentative result; 2. Outlier detection and calibration; 3. Give the final result.

[description_long_link]
https://easylink.cc/valwee

[publish_check_]
true

[results_check_]
true

[data_check_]
true

[pdf_check_]
false

[video_check_]
false