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...

Полное описание

Библиографические подробности
Главный автор:	Xinyue Wang
Формат:	Статья
Язык:	English
Опубликовано:	IEEE 2023-01-01
Серии:	IEEE Access
Предметы:	Indoor positioning Wi-Fi signal processing machine learning model optimization dynamic time warping Gaussian kernel matrix
Online-ссылка:	https://ieeexplore.ieee.org/document/10214587/

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