4 citations · 4 across the 7 of their papers we have counts for
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eess.SP2022
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach
Maximilian Stahlke, George Yammine, Tobias Feigl +2
Fingerprinting-based positioning significantly improves the indoor localization performance in non-line-of-sight-dominated areas. However, its deployment and maintenance is cost-in…
eess.SP2022★ 4 cited
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes
Sebastian Kram, Christopher Kraus, Tobias Feigl +3
Recent localization frameworks exploit spatial information of complex channel measurements (CMs) to estimate accurate positions even in multipath propagation scenarios. State-of-th…