An improved demodulation for LoRa through a threshold-based detection of error Online publication date: Wed, 26-Oct-2022
by Vincent Savaux
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 10, No. 3, 2022
Abstract: This paper deals with an improved demodulation technique for LoRa signal. The principle consists of detecting the possible errors of demodulation, by comparing the highest peak of the periodogram of the dechirped received signal weighted by a coefficient β with the other peaks of the periodogram. If an error is detected, a second demodulation stage is processed at an oversampling rate (OSR) higher than the first demodulation stage. Otherwise, the result of the first demodulation is kept. A thorough performance analysis of the suggested technique, based on order statistics, is provided, in terms of detection rate, error rate, and complexity. It is shown that β can be tuned to adjusts the trade-off between performance and complexity. Moreover, simulation results show that it is actually possible to reach the performance of the demodulation at highest OSR while keeping the complexity of the demodulation at lowest OSR.
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