Radio Signal Anomaly Detection

Description

Radio Signal Anomaly Detection includes

Analysis of geometric, density-based, and reconstruction-based methods for anomaly detection in radio frequency (RF) and audio signals.
Review and integration of public and internal datasets for model validation.
Implementation, testing, and metric-based comparison of novelty detection methods as well as jammer detection on mobile communication signals.
Extension to multi-object detection in the spectrogram under the influence of real-world noise and multi-drone scenarios.