An Indoor Fingerprint Positioning Algorithm Based on WKNN and Improved XGBoost

Considering the low indoor positioning accuracy and poor positioning stability of traditional machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted k-nearest neighbors (WKNN) and extreme gradient boosting (XGBoost) was proposed in this study. Firstly, the outlier...

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Detalles Bibliográficos
Autores principales: Lu, Haizhao, Zhang, Lieping, Chen, Hongyuan, Zhang, Shenglan, Wang, Shoufeng, Peng, Huihao, Zou, Jianchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142240/
https://www.ncbi.nlm.nih.gov/pubmed/37112293
http://dx.doi.org/10.3390/s23083952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142240/
https://www.ncbi.nlm.nih.gov/pubmed/37112293
http://dx.doi.org/10.3390/s23083952

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