LOS/NLOS Identification Based on Stable Distribution Feature Extraction and SVM Classifier for UWB On-Body Communications - Université de Lorraine
Journal Articles International journal of ubiquitous systems and pervasive networks Year : 2015

LOS/NLOS Identification Based on Stable Distribution Feature Extraction and SVM Classifier for UWB On-Body Communications

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Computer science

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https://hal.univ-lorraine.fr/hal-01783734

Submitted on : Wednesday, May 2, 2018-4:21:25 PM

Last modification on : Monday, September 25, 2023-12:28:09 PM

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hal-01783734 , version 1 (02-05-2018)

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  • HAL Id : hal-01783734 , version 1

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Mohamed Tabaa, Camille Diou, Rachid Saadane, Abbas Dandache. LOS/NLOS Identification Based on Stable Distribution Feature Extraction and SVM Classifier for UWB On-Body Communications. International journal of ubiquitous systems and pervasive networks, 2015, 6 (1), pp.27-32. ⟨hal-01783734⟩

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