COSYS-LEOST, Université Gustave Eiffel, IFSTTAR, Université de Lille, F-59650 Villeneuve d'Ascq, France.
Université de Lille, CNRS, USR 3380-IRCICA-Institut de Recherche sur les Composants Logiciels et Matériels pour l'Information et la Communication Avancée, F-59000 Lille, France.
Sensors (Basel). 2022 Jul 2;22(13):5015. doi: 10.3390/s22135015.
This work presents a detailed analysis of the susceptibility of LoRa communications in the presence of intentional jamming signals. The analysis is performed with a periodic frequency-sweeping intentional electromagnetic interference, corresponding to the most common jamming signals. Such a waveform faithfully represents the signals emitted by commercial jammers. As the sweep period of the jamming signals may vary from one such device to another, the analyses are conducted with different sweep period values, from 1 μs to 50 μs. The experimental results indicate that the impact varies significantly according to the sweep period of the jamming signal. The detailed analysis allows us to identify the jamming signals to which LoRa communications can be resilient or not as well as to identify which LoRa channels are less affected during an attack.
本工作对存在有意干扰信号时 LoRa 通信的敏感性进行了详细分析。分析是针对最常见的干扰信号,通过周期性扫频有意电磁干扰进行的。这种波形忠实地表示了商业干扰器发出的信号。由于干扰信号的扫频周期可能在不同设备之间有所不同,因此分析采用了不同的扫频周期值,从 1μs 到 50μs。实验结果表明,干扰信号的扫频周期对影响有显著差异。详细的分析使我们能够识别 LoRa 通信能够抵御或不能抵御的干扰信号,以及在攻击期间受影响较小的 LoRa 信道。