Image Transmission and Reception Using OFDM Technology with MATLAB Implementation

This project implements image transmission using Orthogonal Frequency Division Multiplexing (OFDM) technology through MATLAB programming. The core implementation involves developing an OFDM system that segments an input image into data blocks for transmission over multiple orthogonal subcarriers. Key implementation steps include: First, we design a MATLAB-based OFDM system architecture that processes an image by converting it into binary data streams. The system partitions the image data into frames suitable for OFDM modulation, where each frame undergoes serial-to-parallel conversion before Inverse Fast Fourier Transform (IFFT) processing. The implementation allows performance evaluation through critical metrics such as Bit Error Rate (BER) and Signal-to-Noise Ratio (SNR) under various channel conditions. Programmatically, this involves adding AWGN noise to transmitted signals and calculating error rates by comparing original and received image data. To enhance system robustness, the implementation can incorporate channel coding techniques like convolutional coding or Reed-Solomon codes using MATLAB's Communication Toolbox functions. Modulation schemes can be optimized by employing different digital modulation methods (QPSK, 16-QAM, 64-QAM) through MATLAB's modem functions, allowing trade-off analysis between data rate and transmission reliability. Through this MATLAB implementation of OFDM-based image transmission and reception, developers gain practical understanding of OFDM principles, including cyclic prefix insertion, channel equalization, and frequency domain processing. The comprehensive performance analysis provides insights into real-world OFDM system behavior and optimization strategies for improved data transmission quality.