Baseline Deep Learning Detectors for Radar Detection in the 3.5 GHz CBRS Band
This project aims to create a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both simulated and experimental test data. The proposed tools and techniques are developed in the context of dynamic spectrum use …