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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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2020-06-01
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| Serie: | Applied Sciences |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2076-3417/10/11/3980 |
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