Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation

Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments. The emerging learning-based methods for error mitigation have shown great performance improvement via exploiting high semantic featu...

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Veröffentlicht in:	MILCOM IEEE Military Communications Conference S. 528 - 532
Hauptverfasser:	Li, Yuxiao, Mazuelas, Santiago, Shen, Yuan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.11.2021
Schlagworte:	Deep learning Distance measurement generalized expectation-maximization algorithm Probabilistic logic ranging error mitigation Semantics Signal processing Signal processing algorithms Supervised learning UWB radio weakly supervised Learning
ISSN:	2155-7586
Online-Zugang:	Volltext
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