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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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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6567165/ https://ncbi.nlm.nih.gov/pubmed/31109054 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19102300 |
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