Explore MATLAB source code curated for "瑞利衰落" with clean implementations, documentation, and examples.
This project demonstrates a 2x2 MIMO system featuring V-BLAST encoding at the transmitter, Rayleigh fading channel with additive white Gaussian noise (AWGN), and zero-forcing (ZF) receiver implementation achieving optimal signal recovery performance. The MATLAB code includes signal generation, channel modeling, and receiver processing modules.
Implementation of equalization techniques for 2x2 Rayleigh fading MIMO channels with BPSK modulation, comparing Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Maximum Likelihood (ML) detection methods with code-level performance analysis.
Code implementation for simulating Rayleigh fading and Doppler spread in shortwave channels, featuring performance comparison across different modulation schemes including Frequency Shift Keying (FSK), Phase Shift Keying (PSK), and Amplitude Shift Keying (ASK)
Simulation of OFDM signals in a multi-antenna environment. The program is configured with a 2x2 antenna setup (modifiable by users) and employs Rayleigh fading channel modeling. The simulation compares system bit error rates with and without channel estimation through graphical results. The code is executable and demonstrates practical implementation of MIMO-OFDM signal processing techniques.
MATLAB simulation of 16QAM modulation in Rayleigh fading channels, featuring bit error rate calculation, theoretical analysis, and implementation approaches using key communication functions
Implementing MATLAB simulation of Rayleigh fading phenomena in wireless communication channels with code-based modeling and analysis
Source code for modeling and simulating OFDM Rayleigh fading channels, supporting both single-path and multi-path propagation scenarios with detailed implementation of channel characteristics.
MATLAB-based implementation of Rayleigh fading simulation using Jake's model with comprehensive characteristic analysis and performance evaluation
This project implements channel modeling through Gaussian noise and Rayleigh fading components. We compare various signal combining techniques and relaying protocols, with performance evaluation based on Bit Error Rate (BER) and Throughput metrics. The study includes implementation of Amplify & Forward and Detect & Forward protocols, along with combining schemes like Maximal Ratio Combining (MRC), extended to a four-node system with distributed antenna functionality.