The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Os decodificadores, que melhoram o desempenho de correção de erros ao encontrar e corrigir os bits de erro causados pelo ruído do canal, são um ponto crítico para códigos polares. Neste artigo, apresentamos um decodificador D-SCFlip (TD-SCFlip) baseado em limite com duas melhorias baseadas no decodificador D-SCFlip. Primeiro, propomos o critério de fidelidade LLR para definir o limiar LLR e investigamos a probabilidade de confiança para calcular o limiar LLR indiretamente. Os bits de informação cujos valores LLR são menores que o limite LLR serão excluídos do intervalo de bits candidatos, o que reduz a complexidade de construção da lista de flip-bits sem perda de desempenho de correção de erros. Em segundo lugar, melhoramos o método de cálculo da métrica flip-bits com dois parâmetros de perturbação, que localizam os bits de erro induzidos pelo canal mais rapidamente, melhorando assim o desempenho da correção de erros. Em seguida, também é proposto o decodificador TD-SCFlip-ω, que se limita a corrigir até ω bits em cada tentativa extra de decodificação. Os resultados da simulação mostram que a decodificação TD-SCFlip é ligeiramente melhor do que a decodificação D-SCFlip em termos de desempenho de correção de erros e complexidade de decodificação, enquanto o desempenho de correção de erros da decodificação TD-SCFlip-ω é comparável ao de D-SCFlip -ω decodificação, mas com menor complexidade de decodificação.
Desheng WANG
China University of Mining and Technology
Jihang YIN
University of Chinese Academy of Sciences
Yonggang XU
China University of Mining and Technology
Xuan YANG
China University of Mining and Technology
Gang HUA
China University of Mining and Technology
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Desheng WANG, Jihang YIN, Yonggang XU, Xuan YANG, Gang HUA, "Threshold Based D-SCFlip Decoding of Polar Codes" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 8, pp. 635-644, August 2023, doi: 10.1587/transcom.2022EBP3180.
Abstract: The decoders, which improve the error-correction performance by finding and correcting the error bits caused by channel noise, are a hotspot for polar codes. In this paper, we present a threshold based D-SCFlip (TD-SCFlip) decoder with two improvements based on the D-SCFlip decoder. First, we propose the LLR fidelity criterion to define the LLR threshold and investigate confidence probability to calculate the LLR threshold indirectly. The information bits whose LLR values are smaller than the LLR threshold will be excluded from the range of candidate bits, which reduces the complexity of constructing the flip-bits list without the loss of error-correction performance. Second, we improve the calculation method for flip-bits metric with two perturbation parameters, which locates the channel-induced error bits faster, thus improving the error-correction performance. Then, TD-SCFlip-ω decoder is also proposed, which is limited to correcting up to ω bits in each extra decoding attempt. Simulation results show that the TD-SCFlip decoding is slightly better than the D-SCFlip decoding in terms of error-correction performance and decoding complexity, while the error-correction performance of TD-SCFlip-ω decoding is comparable to that of D-SCFlip-ω decoding but with lower decoding complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3180/_p
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@ARTICLE{e106-b_8_635,
author={Desheng WANG, Jihang YIN, Yonggang XU, Xuan YANG, Gang HUA, },
journal={IEICE TRANSACTIONS on Communications},
title={Threshold Based D-SCFlip Decoding of Polar Codes},
year={2023},
volume={E106-B},
number={8},
pages={635-644},
abstract={The decoders, which improve the error-correction performance by finding and correcting the error bits caused by channel noise, are a hotspot for polar codes. In this paper, we present a threshold based D-SCFlip (TD-SCFlip) decoder with two improvements based on the D-SCFlip decoder. First, we propose the LLR fidelity criterion to define the LLR threshold and investigate confidence probability to calculate the LLR threshold indirectly. The information bits whose LLR values are smaller than the LLR threshold will be excluded from the range of candidate bits, which reduces the complexity of constructing the flip-bits list without the loss of error-correction performance. Second, we improve the calculation method for flip-bits metric with two perturbation parameters, which locates the channel-induced error bits faster, thus improving the error-correction performance. Then, TD-SCFlip-ω decoder is also proposed, which is limited to correcting up to ω bits in each extra decoding attempt. Simulation results show that the TD-SCFlip decoding is slightly better than the D-SCFlip decoding in terms of error-correction performance and decoding complexity, while the error-correction performance of TD-SCFlip-ω decoding is comparable to that of D-SCFlip-ω decoding but with lower decoding complexity.},
keywords={},
doi={10.1587/transcom.2022EBP3180},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Threshold Based D-SCFlip Decoding of Polar Codes
T2 - IEICE TRANSACTIONS on Communications
SP - 635
EP - 644
AU - Desheng WANG
AU - Jihang YIN
AU - Yonggang XU
AU - Xuan YANG
AU - Gang HUA
PY - 2023
DO - 10.1587/transcom.2022EBP3180
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2023
AB - The decoders, which improve the error-correction performance by finding and correcting the error bits caused by channel noise, are a hotspot for polar codes. In this paper, we present a threshold based D-SCFlip (TD-SCFlip) decoder with two improvements based on the D-SCFlip decoder. First, we propose the LLR fidelity criterion to define the LLR threshold and investigate confidence probability to calculate the LLR threshold indirectly. The information bits whose LLR values are smaller than the LLR threshold will be excluded from the range of candidate bits, which reduces the complexity of constructing the flip-bits list without the loss of error-correction performance. Second, we improve the calculation method for flip-bits metric with two perturbation parameters, which locates the channel-induced error bits faster, thus improving the error-correction performance. Then, TD-SCFlip-ω decoder is also proposed, which is limited to correcting up to ω bits in each extra decoding attempt. Simulation results show that the TD-SCFlip decoding is slightly better than the D-SCFlip decoding in terms of error-correction performance and decoding complexity, while the error-correction performance of TD-SCFlip-ω decoding is comparable to that of D-SCFlip-ω decoding but with lower decoding complexity.
ER -