MATLAB Implementation of Convolutional Coded OFDM System Simulation

This project presents a MATLAB-based simulation of Orthogonal Frequency Division Multiplexing (OFDM) systems incorporating convolutional coding techniques operating over Additive White Gaussian Noise (AWGN) channels. The implementation includes comprehensive MATLAB code demonstrating key communication system components. The simulation framework encompasses convolutional encoder implementation using MATLAB's poly2trellis function to generate generator polynomials, with typical code rates of 1/2 or 1/3 using constraint length K=3 or K=7. The OFDM modulation employs IFFT/FFT operations for subcarrier modulation, with proper cyclic prefix insertion to mitigate inter-symbol interference. Key MATLAB functions utilized include: - awgn() for adding white Gaussian noise to the transmitted signal - convenc() and vitdec() for convolutional encoding and Viterbi decoding - fft() and ifft() for OFDM modulation/demodulation - berawgn() for theoretical BER performance comparison The simulation evaluates bit error rate (BER) performance versus signal-to-noise ratio (SNR), comparing coded and uncoded OFDM system performance. The code includes parameter configuration for FFT size, cyclic prefix length, modulation schemes (BPSK/QPSK/16QAM), and convolutional code specifications, providing a flexible platform for wireless communication system analysis.