Explore MATLAB source code curated for "频谱感知" with clean implementations, documentation, and examples.
Small programs and tools related to spectrum sensing in cognitive radio systems, featuring code implementations and algorithm explanations to help developers better understand and apply cognitive radio technology.
Implementation of spectrum sensing method through energy detection algorithm in cognitive radio systems operating under Rayleigh fading channel conditions, including key algorithmic approaches and computational considerations.
Spectrum Sensing Multi-User Cooperation Energy Detection Pseudorandom Sequences
Implementing and analyzing energy detection spectrum sensing algorithm through MATLAB simulation with detailed code implementation and performance evaluation
This code implements the energy detection method for spectrum sensing, providing deeper understanding of energy detection techniques with practical MATLAB/Python implementation examples
This research addresses spectrum sensing challenges in Rayleigh fading channels using Monte Carlo simulation methodology with comprehensive experimental analysis.
Spectrum sensing and energy detection techniques with practical MATLAB code implementation approaches
MATLAB implementations for cognitive radio technology and spectrum sensing featuring cyclic detection algorithms, periodic detection methods, and spectrum monitoring techniques
Spectrum sensing based on energy detection. Due to multipath and shadowing effects in practical channels, the performance of individual cognitive user spectrum sensing is degraded. Therefore, cooperative spectrum sensing among different users is required to mitigate these effects. This design requires implementing a collaboration mechanism where two users perform cooperative spectrum sensing to improve primary user detection rates, reduce detection time, and achieve agility gain. Simulation results must be provided, including energy calculation algorithms and decision fusion techniques.
MATLAB-based implementation for cognitive radio energy detection and spectrum sensing applications, featuring real-time signal monitoring and spectral analysis capabilities.