LoRa Signal Monitoring System of Multi-Node Software Define Radio
Yunhui Yi, Hailang Zhao, Yisu Wang · 2020
LoRa is a widely deployed LPWAN technology and is considered by a large number of industries as a base for their IoT applications. However, if the IoT growth forecasts are confirmed, the collisions between packets will multiply and thus degrade the system spectral and transer efficiencies. Detecting abnormal behavior in wireless spectrum is a arduous task because of the complexity of the use of the electromagnetic spectrum. The LoRa signal of internet of things needs to be blindly detected and parameter estimation. A multi-node LoRa signal detection system based on software radio is proposed. The system includes multiple nodes, data fusion center, and user application. The LoRa modulation method is identified by the neural network, and combined with the traditional energy detection method to complete the LoRa signal detection and parameter estimation. The data fusion center process the data of multi-node make use of the improvement of k-means clustering. The experimental results show that the system improving the probability of LoRa signal detection and reducing the error of parameters estimation.