Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression

This paper presents a localization model employing convolutional neural network (CNN) and Gaussian process regression (GPR) based on Wi-Fi received signal strength indication (RSSI) fingerprinting data. In the proposed scheme, the CNN model is trained by a training dataset. The trained model adapts...

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Detalles Bibliográficos
Autores principales: Zhang, Guolong, Wang, Ping, Chen, Haibing, Zhang, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603619/
https://www.ncbi.nlm.nih.gov/pubmed/31159314
http://dx.doi.org/10.3390/s19112508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603619/
https://www.ncbi.nlm.nih.gov/pubmed/31159314
http://dx.doi.org/10.3390/s19112508

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