GROF: Indoor Localization Using a Multiple-Bandwidth General Regression Neural Network and Outlier Filter

In recent years, a variety of methods have been developed for indoor localization utilizing fingerprints of received signal strength (RSS) that are location dependent. Nevertheless, the RSS is sensitive to environmental variations, in that the resulting fluctuation severely degrades the localization...

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Detalles Bibliográficos
Autores principales: Chen, Zhang, Wang, Jinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263617/
https://www.ncbi.nlm.nih.gov/pubmed/30388845
http://dx.doi.org/10.3390/s18113723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263617/
https://www.ncbi.nlm.nih.gov/pubmed/30388845
http://dx.doi.org/10.3390/s18113723

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