Wireless Communication Based on Chirp Signals for LoRa IoT Devices

Authors

  • 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

Keywords:

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

Abstract

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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Author Biographies

  • 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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Published

2018-12-21

Issue

Vol. 4 No. 1 (2018): IoT: Internet of Things as field revolution

Section

IoT as a Field Revolution - Special Issue 2018

License

Authors of articles published in the ISEL Academic Journal of Electronics, Telecommunications and Computers retain copyright of their work, without restriction, licensing it under the Creative Commons Attribution-NonCommercial 4.0 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.