Simplified Turbo Code Decoding Using Log-MAP Iterative Decoding Algorithm

By employing the Log-MAP iterative decoding algorithm, simplified Turbo code decoding can be achieved, which not only enhances the code rate and accelerates decoding speed but also reduces computational complexity. In the Log-MAP algorithm implementation, multiple iterations and feedback mechanisms effectively refine and optimize the decoding results of codewords through systematic forward-backward recursion and logarithmic probability calculations. Key functions involve computing log-likelihood ratios (LLRs) using Jacobian logarithm approximations to avoid numerical instability, while branch metric calculations leverage simplified path metrics for efficient state transitions. This iterative correction process significantly improves decoding accuracy and reliability. Consequently, the Log-MAP iterative decoding algorithm plays a vital role in Turbo code decoding procedures, providing an effective solution for enhancing the performance of wireless communication systems through reduced-latency parallel processing architectures.