Image Transmission Analysis using CSS Modulation Scheme
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Abstract
Image transmission through low-speed communication systems has been a challenge to overcome in the last few years. Actual IoT technologies are supported by LPWAN, where power consumption is a primary issue to consider. The image transmission study presented in this paper is based on Chirp Spread Spectrum (CSS) modulation scheme used by LoRa. A simulation model for image transmission is presented, where the communication channel is based on additive white Gaussian noise (AWGN), with a configurable signal-to-noise ratio (SNR). This model allows the modification of several LoRa CSS parameters such as: spreading factor (SF) bandwidth (BW) and code rate (CR). The adopted metrics for the evaluation of the proposed methodology are symbol error rate (SER), bit error rate (BER) and peak signal-to-noise ratio (PSNR). The first two figures of merit allow the study of the transmission quality and with the last one is possible to infer the received image quality. For a SF=8 and SNR=-10 dB the obtained values of SER and BER are 0.001 1e-4, respectively. These values will lead to a PSNR = 21 dB.
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