WiFi RSS and RTT Indoor Positioning with Graph Temporal Convolution Network
Indoor positioning using commodity WiFi has gained significant attention; however, achieving sub-meter accuracy across diverse layouts remains challenging due to multipath fading and Non-Line-Of-Sight (NLOS) effects. In this work, we propose a hybrid Graph–Temporal Convolutional Network (GTCN) model...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2025-12-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/25/24/7622 |
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