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insight - Indoor positioning system
Unsupervised Machine Learning for Error Mitigation in TDoA UWB Indoor Localization
An unsupervised machine learning framework using deep embedded clustering (DEC) is proposed to mitigate errors in TDoA UWB indoor localization by selecting high-quality anchor nodes.
Adaptive Anchor Pairs Selection for Improved Accuracy in TDOA-based Indoor Localization Systems
An adaptive anchor pairs selection method for ultra-wideband (UWB) Time Difference of Arrival (TDOA) based positioning systems that improves localization accuracy by selecting the optimal anchor pairs for different zones within the coverage area.
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