Identification of NLOS and Multi-Path Conditions in UWB Localization Using Machine Learning Methods

Identification of NLOS and Multi-Path Conditions in UWB Localization Using Machine Learning Methods

In ultra-wideband (UWB)-based wireless ranging or distance measurement, differentiation between line-of-sight (LOS), non-line-of-sight (NLOS), and multi-path (MP) conditions is important for precise indoor localization. This is because the accuracy of the reported measured distance in UWB ranging sy...

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Xehetasun bibliografikoak
Egile Nagusiak: Cung Lian Sang, Bastian Steinhagen, Jonas Dominik Homburg, Michael Adams, Marc Hesse, Ulrich Rückert
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2020-06-01
Saila:Applied Sciences
Gaiak:
UWB
NLOS identification
multi-path detection
NLOS and MP discrimination
machine learning
SVM
Sarrera elektronikoa:https://www.mdpi.com/2076-3417/10/11/3980

Internet

https://www.mdpi.com/2076-3417/10/11/3980

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