[time]
2022-08-16T08:57:35+02:00

[track]
8

[team_name]
Mobile

[team_institution]
Institute of Software, Chinese Academy of Sciences

[logolink]


[team_members]


[reference_person]
Chang Su

[reference_email]
suchang21@otcaix.iscas.ac.cn

[description_short]
First, we use machine learning methods that take some features, e.g., the Rsrp, the TOA, as the input to estimate the distance between the user equipment and base-stations. Next, we collect the range estimation from the base-station and use a trilateration algorithm to calculate the target's position. Finally, we use filters to smooth the trajectory and resample it to get the final results.

[description_long_link]
https://github.com/sulima7/IPIN-T8

[publish_check_]
true

[results_check_]
true

[data_check_]
true

[pdf_check_]
true

[video_check_]
true