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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| Format: | Artykuł |
| Język: | English |
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IEEE
2023-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/10214587/ |