The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

Accurate indoor positioning is crucial for many location-based services, but GPS accuracy is significantly reduced due to issues such as signal penetration and accuracy in indoor scenarios. In contrast, indoor Wi-Fi positioning is emerging as a promising alternative in the field. This study proposes...

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Hlavní autor: Xinyue Wang
Médium: Článek
Jazyk:English
Vydáno: IEEE 2023-01-01
Edice:IEEE Access
Témata:
Indoor positioning
Wi-Fi signal processing
machine learning
model optimization
dynamic time warping
Gaussian kernel matrix
On-line přístup:https://ieeexplore.ieee.org/document/10214587/

Internet

https://ieeexplore.ieee.org/document/10214587/

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