Dataset with IQ signals captured from multiple Sub-GHz technologies (Sigfox, LoRA, IEEE 802.15.4g, IEEE 802.15.4 SUN-OFDM, IEEE 802.11ah)
We provide a dataset with IQ signals captured from multiple Sub-GHz technologies. Specifically, the dataset targets wireless technology recognition (machine learning) algorithms for enabling cognitive wireless networks. The Sub-GHz technologies include Sigfox, LoRA, IEEE 802.15.4g, IEEE 802.15.4 SUN-OFDM and IEEE 802.11ah. Additionally, we added a noise signal class for allowing detection of signal abscence.
The dataset was captured using a RTL-SDR at a sampling rate of 2.048 MHz using coaxial cables. Two center frequencies (864.0 MHz and 867.4 MHz) were considered to cover all considered channels of the wireless Sub-GHz technologies.
