Signal Classification and Anomaly Detection in Contested Spectral Environments
This RFP seeks an interpretable machine learning solution for automated RF signal classification and anomaly detection in contested spectrum environments. The capability must outperform manual SIGINT analysis while remaining computationally efficient, transparent to commanders, and scalable across tactical to operational military scenarios.