Forced-convergence decoding for LDPC-coded modulation

Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstand- ing performance in a bandwidth-limited channel. However, it involves relatively high decoding complexity. Owing to different convergence behaviors of variable nodes, the nodes detected early can be delete...

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Published inScience China. Information sciences Vol. 56; no. 1; pp. 143 - 153
Main Authors Dai, LiYun, Yang, HongWen, Fan, JianXiao, Rao, WenYuan
Format Journal Article
LanguageEnglish
Published Heidelberg SP Science China Press 2013
Springer Nature B.V
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ISSN1674-733X
1869-1919
DOI10.1007/s11432-012-4710-8

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Abstract Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstand- ing performance in a bandwidth-limited channel. However, it involves relatively high decoding complexity. Owing to different convergence behaviors of variable nodes, the nodes detected early can be deleted from the Tanner graph, which reduces the size of the parity-check matrix iteration by iteration and thus the decoding complexity. In this paper, we propose a new decoding algorithm for LDPC-coded modulation with reduced complexity. In addition, by deleting the converged bits from the modulation constellation and updating the hit metrics of the demapper with the reduced constellation, more accurate estimation of the bits can be achieved. Simulation results show that, compared with conventional decoding schemes, the proposed method not only greatly reduces the overall decoding complexity for LDPC-coded modulation but also significantly improves decoding performance.
AbstractList Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstanding performance in a bandwidth-limited channel. However, it involves relatively high decoding complexity. Owing to different convergence behaviors of variable nodes, the nodes detected early can be deleted from the Tanner graph, which reduces the size of the parity-check matrix iteration by iteration and thus the decoding complexity. In this paper, we propose a new decoding algorithm for LDPC-coded modulation with reduced complexity. In addition, by deleting the converged bits from the modulation constellation and updating the bit metrics of the demapper with the reduced constellation, more accurate estimation of the bits can be achieved. Simulation results show that, compared with conventional decoding schemes, the proposed method not only greatly reduces the overall decoding complexity for LDPC-coded modulation but also significantly improves decoding performance.
Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstand- ing performance in a bandwidth-limited channel. However, it involves relatively high decoding complexity. Owing to different convergence behaviors of variable nodes, the nodes detected early can be deleted from the Tanner graph, which reduces the size of the parity-check matrix iteration by iteration and thus the decoding complexity. In this paper, we propose a new decoding algorithm for LDPC-coded modulation with reduced complexity. In addition, by deleting the converged bits from the modulation constellation and updating the hit metrics of the demapper with the reduced constellation, more accurate estimation of the bits can be achieved. Simulation results show that, compared with conventional decoding schemes, the proposed method not only greatly reduces the overall decoding complexity for LDPC-coded modulation but also significantly improves decoding performance.
Author DAI LiYun YANG HongWen FAN JianXiao RAO WenYuan
AuthorAffiliation School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, China School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Keywords low-density parity-check code
coded modulation
forced-convergence
belief propagation decoding
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Notes Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstand- ing performance in a bandwidth-limited channel. However, it involves relatively high decoding complexity. Owing to different convergence behaviors of variable nodes, the nodes detected early can be deleted from the Tanner graph, which reduces the size of the parity-check matrix iteration by iteration and thus the decoding complexity. In this paper, we propose a new decoding algorithm for LDPC-coded modulation with reduced complexity. In addition, by deleting the converged bits from the modulation constellation and updating the hit metrics of the demapper with the reduced constellation, more accurate estimation of the bits can be achieved. Simulation results show that, compared with conventional decoding schemes, the proposed method not only greatly reduces the overall decoding complexity for LDPC-coded modulation but also significantly improves decoding performance.
11-5847/TP
forced-convergence, low-density parity-check code, coded modulation, belief propagation decoding
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Snippet Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstand- ing performance in a bandwidth-limited channel. However, it...
Low-density parity-check (LDPC)-coded modulation has attracted much attention for its outstanding performance in a bandwidth-limited channel. However, it...
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springer
chongqing
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StartPage 143
SubjectTerms Algorithms
Channels
China
Complexity
Computer Science
Computer simulation
Constellations
Convergence
Decoding
Error correcting codes
Information Systems and Communication Service
LDPC
Modulation
Nodes
Parity
Research Paper
Tanner图
低密度奇偶校验
复杂度
收敛
编码调制
解码算法
译码
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Title Forced-convergence decoding for LDPC-coded modulation
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