Nomad: Providing Insights into the Spectrum Environment
Gavin Roberts, Srivatsan Rajagopal, Wei Ping Sun, Richard Bell, Sreevatsank Kadaveru, Raghav Subbaraman, Hadi Givehchian, Raini Wu, Kewei Chen, Isamu A. Poy, Dinesh Bharadia, Fredric Harris · 2024
The proliferation of transmissions in the RF spectrum demands robust and responsive signal analysis techniques to detect and label malicious activity. Traditional methods struggle to balance sensitivity and accuracy in real-time. This paper introduces Nomad, a modular system that combines global spectral pattern recognition with localized energy detection and classic signal processing methods for efficient and accurate RF analysis. Nomad's innovative architecture facilitates rapid development and deployment, while its intuitive visualizations provide actionable insights into even weak signals within complex RF environments.