TY - JOUR AU - Beeharry, Yogesh AU - Fowdur, Tulsi Pawan AU - Soyjaudah, Krishnaraj M. S. PY - 2017/05/30 Y2 - 2024/03/28 TI - SYMBOL LEVEL DECODING FOR DUO-BINARY TURBO CODES JF - IIUM Engineering Journal JA - IIUMEJ VL - 18 IS - 1 SE - Electrical, Computer and Communications Engineering DO - 10.31436/iiumej.v18i1.661 UR - https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/661 SP - 111-131 AB - This paper investigates the performance of three different symbol level decoding algorithms for Duo-Binary Turbo codes. Explicit details of the computations involved in the three decoding techniques, and a computational complexity analysis are given. Simulation results with different couple lengths, code-rates, and QPSK modulation reveal that the symbol level decoding with bit-level information outperforms the symbol level decoding by 0.1 dB on average in the error floor region. Moreover, a complexity analysis reveals that symbol level decoding with bit-level information reduces the decoding complexity by 19.6 % in terms of the total number of computations required for each half-iteration as compared to symbol level decoding. ER -