Improved RF-Based Drone Detection via Advanced Feature Extraction and Sigmoid Calibration

This paper proposes an RF-based drone detection approach utilizing advanced feature extraction and sigmoid calibration applied to binary classification models. The proposed methodology improves detection precision and effectively distin-guishes drone signals from noise. The study evaluates the effectiveness of advanced feature extraction and model calibration in improving drone detection accuracy.