Paper
14 April 2022 A turbo decoding algorithm with low error floor
Xiaohui Liu, Yamu Xiao, Jinquan Huang, Yuelin Yuan, Yichen Wang
Author Affiliations +
Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217820 (2022) https://doi.org/10.1117/12.2631861
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
The paper proposes a new method of the turbo decoding algorithm with a low error floor based on source information redundancy. The method uses the information after frame synchronization and turbo decoding to make statistics of the occurrence probability of information symbols, which is used as the extrinsic information of the input component decoder. Simulation results show that the proposed method can further reduce the bit error rate compared with the traditional turbo decoding method, decrease the threshold value of error floor effectively and improve the decoding performance without increasing the consumption of additional hardware resources and computational complexity.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohui Liu, Yamu Xiao, Jinquan Huang, Yuelin Yuan, and Yichen Wang "A turbo decoding algorithm with low error floor", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217820 (14 April 2022); https://doi.org/10.1117/12.2631861
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KEYWORDS
Signal to noise ratio

Error analysis

Navigation systems

Computer programming

Satellite navigation systems

Satellites

Statistical analysis

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