Energy Detection in Cognitive Radio

In cognitive radio communications, energy detection serves as a fundamental spectrum sensing technique utilized by radio receivers. This method operates by measuring and analyzing the energy level of received signals to determine the presence of primary users or interfering signals. We present a comprehensive MATLAB simulation code that models the application of energy detection technology in cognitive radio scenarios. The implementation includes key components such as signal power calculation, threshold determination based on noise statistics, and hypothesis testing modules. Through this simulation code, users can effectively study and master the operational principles and performance characteristics of energy detection in cognitive radio systems, including detection probability analysis, false alarm rate calculation, and sensitivity to signal-to-noise ratio variations. The code structure incorporates essential functions for signal generation, energy computation using square-law detectors, and statistical decision-making algorithms that compare measured energy against adaptive thresholds.