Underwater Spectrum Sensing Dataset with Symmetric-\u03b1-Stable and \u03b1-Sub-Gaussian Noise for Deep Learning-Based Detection

This dataset provides simulated data used for evaluating spectrum sensing performance in underwater cognitive networks under different noise conditions: Symmetric-\u03b1-Stable (S\u03b1S), \u03b1-Sub-Gaussian (\u03b1SG), and Additive White Gaussian Noise (AWGN).Each dataset is designed to evaluate robust signal detection techniques, including traditional detectors and deep learning-based models, under impulsive and temporally correlated noise conditions.