Adaptive Multi-Type Fingerprint Indoor Positioning and Localization Method Based on Multi-Task Learning and Weight Coefficients K-Nearest Neighbor

The complex indoor environment makes the use of received fingerprints unreliable as an indoor positioning and localization method based on fingerprint data. This paper proposes an adaptive multi-type fingerprint indoor positioning and localization method based on multi-task learning (MTL) and Weight...

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Detalles Bibliográficos
Autores principales: Yuan, Zhengwu, Zha, Xupeng, Zhang, Xiaojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570491/
https://www.ncbi.nlm.nih.gov/pubmed/32967320
http://dx.doi.org/10.3390/s20185416

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570491/
https://www.ncbi.nlm.nih.gov/pubmed/32967320
http://dx.doi.org/10.3390/s20185416

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