Cargando…
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| 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 |