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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Tác giả chính: Xinyue Wang
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: IEEE 2023-01-01
Loạt:IEEE Access
Những chủ đề:
Indoor positioning
Wi-Fi signal processing
machine learning
model optimization
dynamic time warping
Gaussian kernel matrix
Truy cập trực tuyến:https://ieeexplore.ieee.org/document/10214587/

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