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An Improved WiFi Positioning Method Based on Fingerprint Clustering and Signal Weighted Euclidean Distance

WiFi fingerprint positioning has been widely used in the indoor positioning field. The weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic algorithms. The traditional WKNN algorithm uses Euclidean distance or Manhattan distance between the received signal strengt...

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Detalles Bibliográficos
Autores principales: Wang, Boyuan, Liu, Xuelin, Yu, Baoguo, Jia, Ruicai, Gan, Xingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567165/
https://www.ncbi.nlm.nih.gov/pubmed/31109054
http://dx.doi.org/10.3390/s19102300