Simulation Study on Dual-Threshold Spectrum Detection Performance Based on Energy Detection

Performance Simulation Research of Dual-Threshold Spectrum Detection Using Energy Detection Methodology

Collaborative Spectrum Sensing Based on Energy Detection in Cognitive Radio Networks

Energy detection-based collaborative spectrum sensing in cognitive radio systems, analyzing the relationship between signal-to-noise ratio (SNR) and detection probability. The implementation compares theoretical and simulated values for both single-node and three-node configurations, demonstrating system performance through MATLAB-based simulations using energy detection algorithms and collaborative decision fusion techniques.

Collaborative Spectrum Sensing Based on Energy Detection in Cognitive Radio

Implementation of collaborative spectrum sensing using energy detection in cognitive radio systems, featuring detection probability analysis under varying SNR conditions, sampling points, and cooperative nodes with MATLAB/Python code examples for practical reference.

Spectrum Sensing Technology Based on Energy Detection

This MATLAB program implements spectrum sensing technology using energy detection methodology, featuring comprehensive source code including additive white Gaussian noise signal implementation and probability of detection analysis.