Explore MATLAB source code curated for "MIMO系统" with clean implementations, documentation, and examples.
Source programs from Branka Vucetic and Jinhong Yuan's "Space-Time Coding" book, providing essential code examples for studying MIMO system space-time coding techniques with practical algorithm implementations.
A commonly used space division multiplexing MIMO system featuring V-BLAST architecture with various detection algorithms: Maximum Likelihood (ML), Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and Zero Forcing with Successive Interference Cancellation (ZF-SIC) detection algorithm
MATLAB-based simulation of channel configuration and channel precoding techniques suitable for MIMO systems in LTE-Advanced
MATLAB Code Implementation for Jankiraman and Mohinder's Space-Time Coding and MIMO Systems Research
MATLAB-based implementation of simplified MIMO system simulation featuring 2x2 and 1x2 configurations with comparisons between AWGN and Rayleigh channels, including channel coding performance analysis.
MATLAB code implementation demonstrating the Alamouti space-time coding scheme for MIMO (Multiple-Input Multiple-Output) systems with comprehensive signal transmission and reception processing.
Implementation code for a two-by-two MIMO system model with comprehensive performance analysis and algorithmic insights.
A 2x1 MIMO system implementing BPSK modulation with Space-Time Trellis Coding (STTC), specifically using the Alamouti encoding scheme. The receiver performs corresponding decoding with simple implementation and excellent simulation results.
This project demonstrates Orthogonal Frequency Division Multiplexing (OFDM) with adaptive modulation applied to Multiple-Input Multiple-Output (MIMO) systems. The implementation involves two main stages: first implementing variable-rate variable-power MQAM in SISO-OFDM systems, then extending adaptive modulation to MIMO systems using Singular Value Decomposition for parallel subchannel optimization.
2x2 Channel Estimation in MIMO Systems with Implementation Approaches