Cargando…
An Improved Bluetooth Indoor Positioning Method Using Dynamic Fingerprint Window
The weighted K-nearest neighbor algorithm (WKNN) is easily implemented, and it has been widely applied. In the large-scale positioning regions, using all fingerprint data in matching calculations would lead to high computation expenses, which is not conducive to real-time positioning. Due to signal...
Autores principales: | Ruan, Ling, Zhang, Ling, Zhou, Tong, Long, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766140/ https://www.ncbi.nlm.nih.gov/pubmed/33352918 http://dx.doi.org/10.3390/s20247269 |
Ejemplares similares
-
A Hybrid Method to Improve the BLE-Based Indoor Positioning in a Dense Bluetooth Environment
por: Huang, Ke, et al.
Publicado: (2019) -
An IMU-Aided Body-Shadowing Error Compensation Method for Indoor Bluetooth Positioning
por: Deng, Zhongliang, et al.
Publicado: (2018) -
An Improved Method Based on Bluetooth Low-Energy Fingerprinting for the Implementation of PEPS System
por: Bonavolontà, Francesco, et al.
Publicado: (2022) -
A Bluetooth/PDR Integration Algorithm for an Indoor Positioning System
por: Li, Xin, et al.
Publicado: (2015) -
A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information
por: Huang, Baichuan, et al.
Publicado: (2019)