Online RSSI selection strategy for indoor positioning in low-effort training scenarios
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Fundação de Amparo à Pesquisa do Estado do Amazonas
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00607-024-01285-y.pdf
Reference41 articles.
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2. Al-Ammar MA, Alhadhrami S, Al-Salman A, Alarifi A, Al-Khalifa HS, Alnafessah A, Alsaleh M (2014) Comparative survey of indoor positioning technologies, techniques, and algorithms. In: 2014 international conference on cyberworlds, pp. 245–252. https://doi.org/10.1109/CW.2014.41
3. Raza A, Lolic L, Akhter S, Liut M (2021) Comparing and evaluating indoor positioning techniques. In: 2021 international conference on indoor positioning and indoor navigation (IPIN), pp. 1–8. https://doi.org/10.1109/IPIN51156.2021.9662632
4. Hyder Z, He D, Li D, Yu W (2021) Improved wi-fi indoor localization based on signal quality parameters and rssi smoothing algorithm. In: 2021 10th international conference on information and automation for sustainability (ICIAfS), pp. 140–144. https://doi.org/10.1109/ICIAfS52090.2021.9606145
5. Sun M, Wang Y, Huang L, Xu S, Cao H, Joseph W, Plets D (2022) Simultaneous wifi ranging compensation and localization for indoor nlos environments. IEEE Commun Lett 26(9):2052–2056. https://doi.org/10.1109/LCOMM.2022.3187208
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