An Indoor Localization System Using Residual Learning with Channel State Information

With the increasing demand of location-based services, neural network (NN)-based intelligent indoor localization has attracted great interest due to its high localization accuracy. However, deep NNs are usually affected by degradation and gradient vanishing. To fill this gap, we propose a novel indo...

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Detalles Bibliográficos
Autores principales: Xu, Chendong, Wang, Weigang, Zhang, Yunwei, Qin, Jie, Yu, Shujuan, Zhang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151952/
https://www.ncbi.nlm.nih.gov/pubmed/34067056
http://dx.doi.org/10.3390/e23050574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151952/
https://www.ncbi.nlm.nih.gov/pubmed/34067056
http://dx.doi.org/10.3390/e23050574

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