Explore MATLAB source code curated for "MIMO" with clean implementations, documentation, and examples.
MMSE (Minimum Mean Square Error) equalization algorithm implementation for MIMO systems featuring 2 transmit and 2 receive antennas, including code-level descriptions of signal processing techniques.
MATLAB implementation of Alamouti space-time coding for 2x2 MIMO systems with code structure and algorithm analysis
Source code for communication system modeling and simulation, including implementations for Bluetooth, CDMA IS-95, OFDM, MIMO technologies with their core related functions
Implementation scenario combining MIMO block diagonalization precoding with VBLAST system architecture for 4-transmit 4-receive configuration, featuring code-level insights on precoding matrix computation and interference cancellation mechanisms.
BER Performance Simulation of ML and ZF Detection Algorithms for a 2×3 MIMO System with Code Implementation Details
This resource includes 4 MATLAB implementations of Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Maximum Likelihood (ML) equalizers for MIMO systems, accompanied by comprehensive documentation on linear detection methods for MIMO communication systems.
Simulation of an OFDM system integrated with MIMO channel transmission using Space-Time Block Coding (STBC) techniques, including code implementation and performance analysis
This resource provides executable implementations of M4K20 power allocation diagrams, MIMO power optimization algorithms, OFDM simulation systems, greedy algorithm demonstrations, and 16QAM modulation schemes. All codes have been modified for immediate usability and feature enhanced performance characteristics suitable for wireless communication research.
This source code repository provides an extensive summary of precoding techniques in MIMO systems, containing most implementations related to MIMO technology. These MATLAB/Python implementations help researchers understand practical applications and algorithm optimization approaches for different precoding schemes, including Zero-Forcing, MMSE, and SVD-based methods through practical simulation examples.
An overview of precoding algorithms in MIMO systems, including mainstream approaches such as Matched Filtering, Zero-Forcing, MMSE, Optimal Signal-to-Leakage-and-Noise Ratio, and Block Diagonalization, with implementation insights.