Spectrum Sensing Technology Based on Energy Detection

This MATLAB program implements spectrum sensing technology based on energy detection. The source code is comprehensive and includes additive white Gaussian noise signal simulation. Spectrum sensing technology represents an advanced signal processing technique capable of real-time monitoring and identification of signals within the radio frequency spectrum, thereby enabling efficient utilization of radio spectrum resources. The program employs a sophisticated design approach through energy detection algorithms to analyze input signals and determine signal presence based on analytical results. The implementation includes threshold calculation methods and statistical signal processing techniques. When signal presence is detected, the program accurately extracts spectral information and performs corresponding processing operations using FFT analysis and power spectral density estimation. The code architecture incorporates robust noise handling mechanisms, specifically addressing the impact of additive white Gaussian noise signals. Through signal-to-noise ratio adaptation and noise variance estimation, the program maintains effective spectrum sensing performance even under noisy interference conditions. Key functions include signal energy calculation, detection threshold optimization, and false alarm probability control. In summary, this represents a powerful and comprehensive MATLAB program suitable for both research and practical applications in spectrum sensing technology, featuring modular code structure with configurable parameters for different sensing scenarios.