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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| 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 |