Simulink for Space-Time Coding Applications
A comprehensive Simulink model for space-time coding implementations - Sharing valuable resources with the community!
Explore MATLAB source code curated for "空时编码" with clean implementations, documentation, and examples.
A comprehensive Simulink model for space-time coding implementations - Sharing valuable resources with the community!
MIMO-OFDM technology, algorithm simulation programs, space-time coding, and V-BLAST encoding algorithms with comprehensive code implementation details.
A beginner-friendly MATLAB simulation program for VBLAST reception systems, featuring implementation of the Maximum Likelihood (ML) detection algorithm with configurable parameters and performance analysis capabilities.
A simulation program for space-time coding in wireless communication systems, featuring multi-antenna transmission and reception with fading channel modeling capabilities.
Complete MATLAB simulation code for physical layer space-time coding, including full source code from transmitter, channel propagation to receiver implementation
MATLAB simulation program for 2x1 Alamouti space-time coding with fundamental encoding principles and performance analysis
STBC (Space-Time Block Coding) encoding and decoding techniques for systems with two transmit antennas and one or two receive antennas, including algorithm implementation and key matrix operations.
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.
This resource covers space-time coding principles and includes practical MATLAB program implementations, providing valuable reference material for understanding and applying these techniques.
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.