Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/47749
Título: | Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning |
Autor(es): | Moreira, Adriano Silva, Ivo Miguel Menezes Meneses, Filipe Nicolau, Maria João Pendao, Cristiano Torres-Sospedra, Joaquín |
Palavras-chave: | Indoor positioning; Wi-Fi fingerprinting; multiple interfaces; indoor vehicles Wi-Fi fingerprinting multiple interfaces indoor vehicles Indoor positioning |
Data: | Set-2017 |
Editora: | IEEE |
Revista: | International Conference on Indoor Positioning and Indoor Navigation |
Citação: | Adriano Moreira, Ivo Silva, Filipe Meneses, Maria João Nicolau, Cristiano Pendão and Joaquín Torres-Sospedra, “Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning”, in proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017), 18-21 September, Sapporo, Japan, 2017 |
Resumo(s): | The accuracy of fingerprinting-based positioning methods accuracy is limited by the fluctuations in the radio signal intensity mainly due to reflections, refractions, and multipath interference, among other factors. We consider that the fluctuations (often modelled as a Gaussian process for simplification purposes) can be minimized by exploiting the richness of multiple signals collected simultaneously through independent network interfaces. This paper introduces an analysis of Wi-Fi signals' statistics using simultaneous measurements which shows that RSSI values obtained from independent devices are not highly correlated. The low correlation between Wi-Fi interfaces might be exploited to improve the positioning accuracy. The validation of the proposed fingerprinting approach in a real scenario shows that the mean and maximum error in positioning can be reduced by more than 40% when five Wi-Fi interfaces are simultaneously used for fingerprinting. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/47749 |
ISBN: | 978-1-5090-6298-0 |
e-ISBN: | 978-1-5090-6299-7 |
DOI: | 10.1109/IPIN.2017.8115914 |
ISSN: | 2162-7347 |
e-ISSN: | 2471-917X |
Versão da editora: | http://ieeexplore.ieee.org/document/8115914/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2017_ACM_etAl.pdf | 4,79 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons