TDoA-Based Self-Supervised Channel Charting With NLoS Mitigation
Channel Charting (CC) has emerged as a promising framework for data-driven radio localization, yet existing approaches often struggle to scale globally and to handle the distortions introduced by non-line-of-sight (NLoS) conditions. In this work, we propose a novel CC method that leverages Channel I...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Transactions on Machine Learning in Communications and Networking |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11500565/ |
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