MIMO-OFDM Channel Estimation

This document discusses the simulation of OFDM signals in a multiple-input multiple-output (MIMO) configuration. The MATLAB-based implementation features a flexible 2x2 antenna array configuration that can be customized by modifying the antenna parameters in the code. The simulation utilizes Rayleigh fading channel modeling to represent realistic wireless propagation conditions. The core algorithm implements channel estimation techniques using pilot symbols inserted in the OFDM frames. Key functions include: - Channel matrix estimation through least squares or MMSE approaches - OFDM modulation/demodulation using FFT/IFFT operations - BER calculation with Monte Carlo simulation methods Visualization components generate comparative plots showing the system's bit error rate performance both with and without channel estimation compensation. Users can execute the program to observe the performance improvement achieved by channel estimation and conduct further experiments by adjusting parameters like signal-to-noise ratio, modulation schemes, and antenna configurations. The code structure follows standard MIMO-OFDM processing chains, including spatial multiplexing, cyclic prefix addition/removal, and equalization techniques. Practical implementation details cover how pilot patterns are designed and how channel state information is utilized for signal recovery.