[time]
2022-08-05T09:53:44+02:00

[track]
7

[team_name]
ISCAS

[team_institution]
Institute of Software, Chinese Academy of Sciences; Tencent Inc.

[logolink]


[team_members]
Fusang Zhang, Chang Su, Junqi Ma, Jiazhi Ni, Xin Li, Chang Liu

[reference_person]
Fusang Zhang

[reference_email]
fusang@iscas.ac.cn

[description_short]
First, we use machine learning methods that take some hand-crafted features, e.g., the distance corresponding to the highest peak in the CI, as the input to estimate the distance between the transmitter and receiver. Next, we collect the range estimation from anchors with the same burst-id 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/IPIN2022/blob/main/Long description of the competing system.pdf

[publish_check_]
true

[results_check_]
true

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