Hybrid Statistical–Machine Learning Channel Modeling and Reader Deployment for UWB Backscatter RFID in IoT
Institutions
Centre National de la Recherche Scientifique (FR)
Université Paris-Saclay (FR)
Laboratoire des signaux et systèmes (FR)
CentraleSupélec (FR)
Pôle Léonard de Vinci (FR)
Vinci (France) (FR)
Ecole Supérieure d'Ingénieurs Léonard de Vinci (FR)
Al-Furat Al-Awsat Technical University (IQ)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-12-22
Primary Topic
RFID technology advancements
Type
article
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article
Hybrid Statistical–Machine Learning Channel Modeling and Reader Deployment for UWB Backscatter RFID in IoT
Journal
SPIRE - Sciences Po Institutional REpository
Topics
RFID technology advancements
article
Hybrid Statistical–Machine Learning Channel Modeling and Reader Deployment for UWB Backscatter RFID in IoT
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Laboratoire des signaux et systèmes (FR), CentraleSupélec (FR), Pôle Léonard de Vinci (FR), Vinci (France) (FR), Ecole Supérieure d'Ingénieurs Léonard de Vinci (FR), Al-Furat Al-Awsat Technical University (IQ)