Wireless Communication Based on Chirp Signals for LoRa IoT Devices

Vitor Fialho, Fernado Azevedo

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.

Keywords


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

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Copyright (c) 2018 Vitor Fialho, Fernado Azevedo

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.