General Methodology for Error Correction Code Performance Testing and Simulation

In this paper, we introduce a general methodology for error correction code performance testing and simulation, with particular emphasis on the generation process of channel error sequences. Furthermore, we implement convolutional code encoding and Viterbi decoding using MATLAB, along with comprehensive performance testing simulations. The implementation involves generating binary error sequences through Bernoulli random processes to simulate channel imperfections, followed by convolutional encoding using predefined generator polynomials. The Viterbi algorithm is employed for decoding, utilizing trellis diagrams and path metric calculations to achieve maximum likelihood sequence estimation. Through these steps, we can comprehensively evaluate error correction code performance under various channel conditions. Key MATLAB functions include convenc for encoding, vitdec for Viterbi decoding, and custom scripts for error pattern generation and bit error rate calculation. These implementations provide practical insights into code performance analysis and optimization.