This paper focuses on the problem of indoor localization based on radio signal measurements. The results presented are based on real measurements performed in Beirut and Paris. These measurements were performed in visibility and non-visibility contexts, using the Receiver Signal Strength Indicator (RSSI) of LoRa signals, by precisely controlling the number of gateways and the number of measurement points. A localization algorithm, based on a Multi-Layer Perceptron (MLP) neural network, was proposed and it was shown that it was possible to localize the measurement points accurately. The experimental results have shown a probability of localization greater than or equal to 98% with an accuracy of less than 1m. These results validate the stability of the RSSI measurements and confirm the possibility of using them for indoor localization.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    LoRa Based Indoor Localization


    Beteiligte:
    Merhej, Dany (Autor:in) / Ahriz, Iness (Autor:in) / Garcia, Samuel (Autor:in) / Terre, Michel (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    654082 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning

    Etiabi, Yaya / Jouhari, Mohammed / Burg, Andreas et al. | IEEE | 2023


    Lora and RFID technology-based cruise ship indoor furniture displacement monitoring alarm system

    WANG NAN / WANG LILI / LEI JUN et al. | Europäisches Patentamt | 2024

    Freier Zugriff


    LoRa and Microsatellites

    Cameron, Neil | Springer Verlag | 2023


    LoRa Technology - An Overview

    Devalal, Shilpa / Karthikeyan, A. | IEEE | 2018