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Title: Fusion of channel state information and received signal strength for indoor localization using a single access point
Authors: Sánchez-Rodríguez, David 
Quintana-Suárez, Miguel A. 
Alonso-González, Itziar 
Ley-Bosch, Carlos 
Sánchez-Medina, Javier J. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Amplitude processing
Channel state information
Features fusion
Indoor localization, et al
Issue Date: 2020
Project: Enruta: Entorno de Localización de Alta Precisión Para Un Turismo Accesible 
Sistema de Localización Aplicado A Personas Con Diversidad Funcional. Posicionamiento y Predicción de Intenciones. 
Journal: Remote Sensing 
Abstract: In recent years, indoor localization systems based on fingerprinting have had significant advances yielding high accuracies. Those approaches often use information about channel communication, such as channel state information (CSI) and received signal strength (RSS). Nevertheless, these features have always been employed separately. Although CSI provides more fine-grained physical layer information than RSS, in this manuscript, a methodology for indoor localization fusing both features from a single access point is proposed to provide a better accuracy. In addition, CSI amplitude information is processed to remove high variability information that can negatively influence location estimation. The methodology was implemented and validated in two scenarios using a single access point located in two different positions and configured in 2.4 and 5 GHz frequency bands. The experiments show that the methodology yields an average error distance of about 0.1 m using the 5 GHz band and a single access point.
ISSN: 2072-4292
DOI: 10.3390/rs12121995
Source: Remote Sensing [EISSN 2072-4292], v. 12 (12), (Junio 2020)
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