NEXTXEN developed a prototype of an RF Anomaly Detection System.  This system is a Machine Learning-based System for the detection of anomalies in the RF Spectrum.

For a video demo of the RF Anomaly Detection System, click here.

Screen capture of a Machine Learning-based (ML) RF Anomaly Detection System developed by NEXTXEN

NEXTXEN performed research related to determining RF anomalies within a localized spectrum.  This research resulted in an RF Anomaly Detection development system which was prototyped using an Ubuntu-based platform with an on-board SDR and NVIDIA graphics processor.  This real-time system utilized machine learning to determine the ambient base, or normal, spectrum, and an innovative approach to detect potential anomalies.  For more information, please contact  NEXTXEN.