Simulation of BCJR Decoder Process

This MATLAB simulation models the complete process of a BCJR (Bahl-Cocke-Jelinek-Raviv) decoder that processes channel-transmitted input data s. The decoder's primary function is to reconstruct original information from the received channel data s while maximizing decoding accuracy. The implementation includes key algorithmic components such as forward-backward recursion, branch metric calculation, and log-likelihood ratio (LLR) computation. Through this simulation, users can gain deeper insights into the BCJR decoder's working principles and evaluate its performance metrics. The modular code structure allows parameter tuning for examining decoder behavior under various conditions, enabling comparative analysis of different decoding strategies and algorithms. This facilitates optimization of decoder performance, ultimately enhancing signal reliability and transmission rates. The simulation provides visualization tools for tracing state transitions and probability distributions throughout the decoding process.