Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Room-level localization system based on LoRa backscatters

  • Datos identificativos

    Identificador: imarina:9150155
    Autores:
    Lazaro ALazaro MVillarino R
    Resumen:
    CCBY The aim of this paper is to propose a novel room-level localization approach to locate LoRa backscatter devices, which can be easily embedded into wearable devices or smartphones. The advantages of this system lie in its series of low-cost, low-power, low-complexity and long-range features. LoRa backscattering operates by alternatively connecting an antenna, through a switch, to two loads with high reflection coefficients and opposite phase. The result is a frequency shift of the LoRa incident signal equal to the backscatter switching frequency. The localization system comprises several LoRa receivers distributed among the rooms, a LoRa transmitter located at a central point and the backscatter device, which is carried or worn by a subject. The position of the LoRa backscatter device can be determined by comparing the received signal strength between all receivers. In order to improve the accuracy of the system, different machine learning classifiers were compared. System performance was tested in a real-life scenario, achieving an accuracy up to 89.7% using linear discriminant analysis (LDA).
  • Otros:

    Autor según el artículo: Lazaro A; Lazaro M; Villarino R
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    e-ISSN: 2169-3536
    Autor/es de la URV: Lázaro Guillén, Antonio Ramon / Villarino Villarino, Ramón Maria
    Palabras clave: Zero-power sensor Wireless sensor networks Wireless fidelity Rfid Receivers Received signal strength indicator Modulation Microcontrollers Lora Location awareness Localization Internet of things (iot) Backscatter communications Backscatter
    Resumen: CCBY The aim of this paper is to propose a novel room-level localization approach to locate LoRa backscatter devices, which can be easily embedded into wearable devices or smartphones. The advantages of this system lie in its series of low-cost, low-power, low-complexity and long-range features. LoRa backscattering operates by alternatively connecting an antenna, through a switch, to two loads with high reflection coefficients and opposite phase. The result is a frequency shift of the LoRa incident signal equal to the backscatter switching frequency. The localization system comprises several LoRa receivers distributed among the rooms, a LoRa transmitter located at a central point and the backscatter device, which is carried or worn by a subject. The position of the LoRa backscatter device can be determined by comparing the received signal strength between all receivers. In order to improve the accuracy of the system, different machine learning classifiers were compared. System performance was tested in a real-life scenario, achieving an accuracy up to 89.7% using linear discriminant analysis (LDA).
    Áreas temáticas: Telecommunications Materials science (miscellaneous) Materials science (all) General materials science General engineering General computer science Engineering, electrical & electronic Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias iii Electrical and electronic engineering Computer science, information systems Computer science (miscellaneous) Computer science (all) Ciência da computação
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: antonioramon.lazaro@urv.cat ramon.villarino@urv.cat
    Identificador del autor: 0000-0003-3160-5777 0000-0001-9692-8943
    Fecha de alta del registro: 2024-07-27
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Ieee Access. 9 16004-16018
    Referencia de l'ítem segons les normes APA: Lazaro A; Lazaro M; Villarino R (2021). Room-level localization system based on LoRa backscatters. Ieee Access, 9(), 16004-16018. DOI: 10.1109/ACCESS.2021.3053144
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science (Miscellaneous),Computer Science, Information Systems,Engineering (Miscellaneous),Engineering, Electrical & Electronic,Materials Science (Miscellaneous),Telecommunications
    Zero-power sensor
    Wireless sensor networks
    Wireless fidelity
    Rfid
    Receivers
    Received signal strength indicator
    Modulation
    Microcontrollers
    Lora
    Location awareness
    Localization
    Internet of things (iot)
    Backscatter communications
    Backscatter
    Telecommunications
    Materials science (miscellaneous)
    Materials science (all)
    General materials science
    General engineering
    General computer science
    Engineering, electrical & electronic
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias iv
    Engenharias iii
    Electrical and electronic engineering
    Computer science, information systems
    Computer science (miscellaneous)
    Computer science (all)
    Ciência da computação
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