Implementation of AND Fusion Strategy for Cooperative Spectrum Sensing in Rayleigh Fading Channels
Implementation of AND fusion strategy for cooperative spectrum sensing in Rayleigh fading channels with code-based algorithm descriptions
Space-Time Coding Simulation Program in Rayleigh Fading Channel
Space-Time Coding Simulation in Rayleigh Fading Channel: Features 1.2 transmit antennas and 1 receive antenna configuration, SNR range from 0dB to 12dB, simulation termination when symbol errors exceed 20 per SNR point, and data frame structure with 24 QPSK symbols per frame.
Simulation Model of BPSK over Rayleigh Fading Channel
Simulink-based simulation model for BPSK modulation over Rayleigh fading channels. This model demonstrates the performance degradation of BPSK caused by Rayleigh fading effects and enables comparative analysis between Rayleigh and AWGN channel performances. The implementation includes BFSK_Rayleigh simulation for comprehensive modulation scheme comparison using MATLAB's communication blocksets and fading channel components.
Simulation of Ergodic Capacity for MIMO Systems Under Rayleigh Fading Channels
Simulation of ergodic capacity for MIMO systems operating in Rayleigh fading channels, exploring multiple scenarios and conditions with code-driven performance analysis.
Simulation of Rayleigh Fading Channel
This source code implements a comprehensive simulation of Rayleigh fading channels, providing detailed technical insights and practical examples to aid understanding and implementation.
Chau Yuen's Unitary Space-Time Coding Simulation Routine
Implementation of Chau Yuen's unitary space-time coding routine analyzing BER and SER performance across varying SNR levels under Rayleigh fading channel with 4x1 MIMO configuration
QPSK Modulation and Demodulation Process with Performance Analysis
Implementation of QPSK modulation and demodulation under Gaussian white noise and Rayleigh fading channel conditions (excluding multipath interference), using quasi-analytical methods for bit error rate performance calculation. The simulation workflow covers signal generation, filter configuration, QPSK modulation, additive white Gaussian noise injection, Rayleigh channel fading, QPSK demodulation, and BER computation with algorithm-specific implementation details.
LS Algorithm Implementation for Rayleigh Fading Channel Analysis
This MATLAB program implements a Least Squares (LS) algorithm specifically designed for Rayleigh fading channels, providing practical implementation insights and technical reference.
MATLAB Simulation of Signal-to-Noise Ratio for BPSK in Rayleigh Fading Channels
MATLAB simulation of signal-to-noise ratio performance for BPSK modulation in Rayleigh fading channels, including BER analysis and implementation methodology.
Performance Analysis under Rayleigh Fading Channels
Investigated scenarios under Rayleigh fading conditions with 5, 10, and 20 multipath configurations, achieving comprehensive simulation results through proper channel modeling and signal processing implementation.