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 in | Science China. Information sciences Vol. 56; no. 1; pp. 143 - 153 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
SP Science China Press
2013
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-733X 1869-1919 |
| DOI | 10.1007/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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: LiYun surname: Dai fullname: Dai, LiYun email: dailiy2005@gmail.com organization: School of Software and Communication Engineering, Jiangxi University of Finance and Economics, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications – sequence: 2 givenname: HongWen surname: Yang fullname: Yang, HongWen organization: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications – sequence: 3 givenname: JianXiao surname: Fan fullname: Fan, JianXiao organization: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications – sequence: 4 givenname: WenYuan surname: Rao fullname: Rao, WenYuan organization: School of Software and Communication Engineering, Jiangxi University of Finance and Economics |
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| Cites_doi | 10.1587/transfun.E92.A.2411 10.1109/4234.1001666 10.1109/TIT.1981.1056404 10.1109/26.990903 10.1109/TCOMM.2004.826370 10.1109/18.669123 10.1093/ietcom/e91-b.4.1145 10.1109/26.768759 10.1109/TCOMM.2002.800828 10.1109/TIT.2009.2013001 10.1109/TCOMM.2005.852852 10.1049/el:20082236 10.1007/s11432-010-0077-x 10.1049/el:19961141 10.1109/LCOMM.200501010 10.1109/TIT.1962.1057683 10.1049/el:19960666 10.1109/TCOMM.2004.841982 10.1007/s11277-008-9654-3 10.1109/TIT.2003.815777 10.1109/TCOMM.2002.802566 10.1109/IC4.2009.4909263 10.1109/ICC.2008.225 10.1109/ICCOMTA.2009.5349137 10.1109/TCOMM.2002.801524 10.1109/ISITA.2008.4895536 |
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| Copyright | Science China Press and Springer-Verlag Berlin Heidelberg 2012 Science China Press and Springer-Verlag Berlin Heidelberg 2012. |
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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 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
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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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