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Indoor Localization With Robust Global Channel Charting: A Time-Distance-Based Approach

Fingerprinting (FP) significantly improves the indoor localization performance in non-line-of-sight-dominated areas. However, its deployment and maintenance is cost-intensive as it needs ground-truth reference systems for both the initial training and the adaption to environmental changes. Recently,...

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Autori principali: Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2023-01-01
Serie:IEEE Transactions on Machine Learning in Communications and Networking
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Accesso online:https://ieeexplore.ieee.org/document/10070385/
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