MATLAB and Simulink Simulation for MIMO-OFDM Systems

Resource Overview

Comprehensive MATLAB and Simulink simulation programs and models for MIMO-OFDM systems, including OFDM Simulink simulation models and MIMO-OFDM channel estimation simulation algorithms. The package contains 7 well-organized folders with fully functional implementations suitable for wireless communication research and system performance analysis.

Detailed Documentation

This resource provides MATLAB and Simulink simulation programs and models for MIMO-OFDM systems, featuring both OFDM Simulink simulation models and MIMO-OFDM channel estimation simulation algorithms. The collection contains 7 carefully organized folders that I compiled during my MIMO-OFDM thesis research, all validated and ready for immediate use. These simulations are particularly valuable for understanding the working principles and performance evaluation of MIMO-OFDM systems through practical implementation. The simulation programs include key algorithms such as channel estimation techniques (like LS, MMSE estimators), beamforming implementations, spatial multiplexing schemes, and OFDM modulation/demodulation processes. Each folder contains properly structured code with clear parameter configurations for different simulation scenarios. Users can leverage these implementations to conduct various experiments and tests, enabling thorough investigation and analysis of MIMO-OFDM technology applications in wireless communications. Additionally, the packages include comprehensive documentation and detailed instructions covering algorithm explanations, parameter settings, and execution procedures to facilitate quick setup and simulation runs. The code is organized with modular structure, featuring separate functions for transmitter chain (coding, modulation, pilot insertion), channel modeling (fading characteristics, noise addition), and receiver processing (channel estimation, equalization, decoding). These resources are designed to significantly support your research and learning objectives in advanced wireless communication systems.