Analysis of LDPC Code Performance with BPSK Modulation and Demodulation over Rayleigh Fading Channels
Functional analysis of LDPC codes using BPSK modulation and demodulation through Rayleigh fading channels
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Functional analysis of LDPC codes using BPSK modulation and demodulation through Rayleigh fading channels
MATLAB simulation programs for MMSE and ZF channel equalization algorithms, with implementations covering both additive white Gaussian noise (AWGN) channel and Rayleigh fading channel scenarios.
Main function Alamouti(Nr, max_snr, max_err_symbol, symbol_per_frame) implements the Alamouti space-time coding scheme with the following components: QpskMapping(psudo_bit_sequence) - converts binary data to QPSK modulated symbols; RayleighCH(Nr, Nt) - simulates Rayleigh fading channel characteristics. Example usage: Alamouti(1, 12, 20, 24). Key parameters: 2 transmit antennas and 1 receive antenna configuration, SNR range from 0dB to 12dB, simulation stops when symbol errors exceed 20 at each SNR point, with 24 QPSK symbols per frame.
This source code implements a Rayleigh fading channel model with simplified structure, making it ideal for beginners to understand wireless communication fundamentals
This is a MATLAB simulation implementation for Rayleigh fading channels, featuring comprehensive parameter analysis and performance evaluation functions.
Simulation of the channel impulse response for a Rayleigh fading channel, where the x-axis represents the channel sampling order and the y-axis represents the amplitude value corresponding to each sampling order. This implementation typically involves generating complex Gaussian random variables to model the fading coefficients and computing the magnitude for visualization.
Simulate Rayleigh fading channels to meet diverse user requirements with configurable parameters and implementation methods
Two methods for generating Rayleigh fading channels in simulation processes, with MATLAB implementation details
Simulink implementation of a BPSK communication system under Rayleigh fading channel conditions. The model demonstrates the performance degradation caused by Rayleigh fading compared to AWGN channels, enabling side-by-side BER performance analysis through configurable simulation parameters.
An enhanced Rayleigh fading channel simulation method derived from the Jakes' fading model