Performance Analysis of Preamble Detection of LoRa System

LoRa (Long Range) technology is a long-distance, low-power wireless transmission technology based on Chirp (linear frequency modulation) technology, which has been widely regarded as the most mature low-power IOT (Internet of things) standard at present. The statistical characteristics of preamble symbol of LoRa system under AWGN channel were analyzed in this paper. When the preamble symbol detection algorithm with various SF (spreading factor), accumulative length, the number of output and detection times was used, the results of detection probability, false detection probability and missed detection probability were derived under a sort of signal-to-noise ratio and detection threshold. The simulation results were consistent with the theoretical analysis. It provides a theoretical basis for analyzing the synchronization and networking performance of LoRa system.

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