Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning

Distribution discrepancy is an intrinsic challenge in existing fingerprint-based indoor positioning system(s) (FIPS) due to real-time environmental variations; thus, the positioning model needs to be reconstructed frequently based on newly collected training data. However, it is expensive or impossi...

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Detalles Bibliográficos
Autores principales: Huang, Jian, Si, Haonan, Guo, Xiansheng, Zhong, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737723/
https://www.ncbi.nlm.nih.gov/pubmed/36501829
http://dx.doi.org/10.3390/s22239127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737723/
https://www.ncbi.nlm.nih.gov/pubmed/36501829
http://dx.doi.org/10.3390/s22239127

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