[time]
2022-06-25T01:24:14+02:00

[track]
8

[team_name]
DYS-BUPT

[team_institution]
Beijing University of Post and Telecommunication, China (BUPT)

[logolink]


[team_members]


[reference_person]
Kai Luo, Hailong Ren, Ziyao Ma,Yanbiao Gao, Wenfang Guo

[reference_email]
yanbiao_gao@163.com

[description_short]
<br />Because the competition organizers have not provided the training set yet, we will only illustrate our ideal plan for the test scheme. According to the information provided by the Preliminary of Track 8, we can directly use ToA measurements measured from the four TRPs in the test scenario. Based on ToA data and actual positions at each timestamp, we will develop our error model after the training set is released, which will be implemented in the official contest. When the official contest begins, based on the error model we developed, we will calibrate the ToA data in the test set, which will make the estimation more accurate. After the calibration, the positioning system will eliminate the data points with significant biases to maintain the stability of the input data and thus ensure the robustness of the positioning estimations.

Due to space limitation, I cannot write it here, so I will send it to Potorti@isti.cnr.it as an email attachment.

[description_long_link]
https://github.com/gufra-lee/2022_IPIN_competition/blob/master/Track8-Long System Description.pdf

[publish_check_]
true

[results_check_]
true

[data_check_]
true

[pdf_check_]
true

[video_check_]
false