LoRa Devices Identification Based on Differential Constellation Trace Figure

Abstract

With the development of the Internet of Things, the application of LoRa devices is more and more extensive. However, the security access issues of LoRa terminals has not been paid enough attention yet. In this paper, a novel device identification method is proposed according to the modulation principle and frame format of LoRa signals, which is based on the implementation of differential constellation figure on the physical layer. Unique RF fingerprint features can be extracted from each LoRa signal frame or even the preamble part through this method, thus realizing device identification. The method principle is theoretically analyzed and then experiments are conducted with four LoRa devices using the method of pattern classification, which turns out to be a high accuracy rate device identification for every signal frame of these devices, verifying the effectiveness of the identification method.