RSSI Fingerprint Height Based Empirical Model Prediction for Smart Indoor Localization

Smart indoor living advances in the recent decade, such as home indoor localization and positioning, has seen a significant need for low-cost localization systems based on freely available resources such as Received Signal Strength Indicator by the dense deployment of Wireless Local Area Networks (W...

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Detalles Bibliográficos
Autores principales: Arigye, Wilford, Pu, Qiaolin, Zhou, Mu, Khalid, Waqas, Tahir, Muhammad Junaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739514/
https://www.ncbi.nlm.nih.gov/pubmed/36501756
http://dx.doi.org/10.3390/s22239054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739514/
https://www.ncbi.nlm.nih.gov/pubmed/36501756
http://dx.doi.org/10.3390/s22239054

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