Energy Detection MATLAB Source Code for Cognitive Radio

This document presents MATLAB source code implementation for energy detection in cognitive radio systems. The implementation focuses on simulating detection probability performance under various signal-to-noise ratio (SNR) conditions while maintaining a fixed false alarm probability threshold. The core algorithm involves calculating energy statistics from received signals and comparing them against adaptive thresholds. Key functions include signal preprocessing, noise variance estimation, and hypothesis testing based on Neyman-Pearson criteria. Energy detection remains a fundamental technique in cognitive radio as it enables spectrum sensing without requiring prior knowledge of primary user signals. By analyzing detection probability across different SNR levels, researchers can evaluate cognitive radio system performance under various environmental conditions, which is crucial for optimizing spectrum utilization efficiency and enhancing system reliability. The MATLAB code implements Monte Carlo simulations to statistically determine detection probabilities, incorporating signal generation modules, AWGN channel models, and performance metric calculation routines.