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Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets. (arXiv:2205.02096v1 [eess.SP])
May 5, 2022, 1:12 a.m. | Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta
cs.LG updates on arXiv.org arxiv.org
Wearable and IoT devices requiring positioning and localisation services grow
in number exponentially every year. This rapid growth also produces millions of
data entries that need to be pre-processed prior to being used in any indoor
positioning system to ensure the data quality and provide a high Quality of
Service (QoS) to the end-user. In this paper, we offer a novel and
straightforward data cleansing algorithm for WLAN fingerprinting radio maps.
This algorithm is based on the correlation among fingerprints …
More from arxiv.org / cs.LG updates on arXiv.org
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