Wireless Communication Based on Chirp Signals for LoRa IoT Devices

Autores

  • Vitor Fialho Instituto Superior de Engenharia de Lisboa - Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores (ADEETC)
  • Fernado Azevedo Instituto Superior de Engenharia de Lisboa - Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores (ADEETC)

DOI:

https://doi.org/10.34629/ipl.isel.i-ETC.51

Palavras-chave:

Chirp signal, spread-spectrum, IoT, spreading factor, bit error rate packet error rate, signal to noise ratio.

Resumo

This paper presents the study of chirp signals for wireless communications between Internet of Thing devices used on low power wide area networks. Up and down chirp concept is introduced as well as the chirp spread spectrum concept. A computationally efficient symbol decoding method is presented based of discrete Fourier transform as an alternative to typical coherent detection. The proposed simulation LoRa model is implemented in MATLAB allowing the communication system evaluation based on bit error rate and packet error rate.

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Biografias do Autor

  • Vitor Fialho, Instituto Superior de Engenharia de Lisboa - Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores (ADEETC)
    Professor Adjunto -Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores
  • Fernado Azevedo, Instituto Superior de Engenharia de Lisboa - Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores (ADEETC)
    Professor Adjunto -Área Departamental de Engenharia Electrónica e Telecomunicações e de Computadores

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Publicado

2018-12-21

Edição

Vol. 4 N.º 1 (2018): IoT: Internet of Things as field revolution

Secção

IoT as a Field Revolution - Special Issue 2018

Licença

Authors of articles published in the ISEL Academic Journal of Electronics, Telecommunications and Computers retain copyright of their work, licensing it under the Creative Commons Attribution-NonCommercial 3.0 Unported License. This license allows free download of the articles from the i-ETC website, as well as re-use and re-distribution without restriction, as long as the original work is properly cited and not used for commercial purposes.

http://creativecommons.org/licenses/by-nc/4.0/