@inproceedings{cb8c868004db40e690d09b8e7ea090d1,
title = "Design of an Efficient Segmented Parallel Turbo Decoder",
abstract = "A segmented parallel Turbo decoder was designed to address the performance loss of sub-block parallel algorithms and the optimization of the decoding delay for Turbo codes. The proposed decoding algorithm is based on the idea of sub-block parallelism, introduces pre-calculation operations, optimizes the decoding performance of parallel decoding algorithms, reduces the number of iterations, and utilizing methods such as segmentation processing, the running efficiency of the algorithm block has been improved. The results show that the segmented parallel decoding algorithm can effectively improve the decoding performance and convergence speed of each iteration compared to the sub-block parallel decoding algorithm, and according to the different choices of parallelism, the decoding speed of the segmented parallel decoding algorithm is several times higher than that of the traditional Turbo decoding algorithm and sliding window algorithm.",
keywords = "MAP algorithm, Turbo Code, iterative decoding, parallel processing",
author = "Yining Zhang and Zhe Zheng and Yang Zhou",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 8th World Conference on Computing and Communication Technologies, WCCCT 2025 ; Conference date: 11-04-2025 Through 13-04-2025",
year = "2025",
doi = "10.1109/WCCCT65447.2025.11028014",
language = "English",
series = "8th World Conference on Computing and Communication Technologies, WCCCT 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "191--198",
booktitle = "8th World Conference on Computing and Communication Technologies, WCCCT 2025",
address = "United States",
}