Localization with Transfer Learning Based on Fine-Grained Subcarrier Information for Dynamic Indoor Environments

Indoor localization provides robust solutions in many applications, and Wi-Fi-based methods are considered some of the most promising means for optimizing indoor fingerprinting localization accuracy. However, Wi-Fi signals are vulnerable to environmental variations, resulting in data across differen...

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Detalles Bibliográficos
Autores principales: Yin, Yuqing, Yang, Xu, Li, Peihao, Zhang, Kaiwen, Chen, Pengpeng, Niu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867339/
https://www.ncbi.nlm.nih.gov/pubmed/33540823
http://dx.doi.org/10.3390/s21031015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867339/
https://www.ncbi.nlm.nih.gov/pubmed/33540823
http://dx.doi.org/10.3390/s21031015

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