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...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Xinyue Wang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: IEEE 2023-01-01
Sarja:IEEE Access
Aiheet:
Indoor positioning
Wi-Fi signal processing
machine learning
model optimization
dynamic time warping
Gaussian kernel matrix
Linkit:https://ieeexplore.ieee.org/document/10214587/

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