A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning

In recent years, indoor positioning is getting more attention, and WiFi fingerprinting is one promising method to track the position of a person. Until now, there is a lack of public datasets that can be used to compare fairly among different positioning algorithms. In this paper, a multi-condition...

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Huvudupphovsmän: Dương, Bảo Ninh, He, Jing, Vũ, Thành Trung, Nguyễn, Thị Lương, Đỗ, Thị Lệ, Nguyễn, Hữu Khánh
Materialtyp: Conference paper
Språk:English
Publicerad: Springer 2022
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Länkar:https://scholar.dlu.edu.vn/handle/123456789/1646
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