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Low Complexity SOVA for Turbo Codes
Recently, trimming Soft-output Viterbi algorithm(T-SOVA) has been proposed to reduce the complexity of SOVA for Turbo codes. In its fi rst stage, a dynamic algorithm, lazy Viterbi algorithm, is used to indicate the minimal metric differences which brings obstacle on hardware implementation. This pap...
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Published in: | China communications 2017-08, Vol.14 (8), p.33-40 |
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container_title | China communications |
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creator | Pei, Ruilin Wang, Zulin Huang, Qin Wang, Jiaqing |
description | Recently, trimming Soft-output Viterbi algorithm(T-SOVA) has been proposed to reduce the complexity of SOVA for Turbo codes. In its fi rst stage, a dynamic algorithm, lazy Viterbi algorithm, is used to indicate the minimal metric differences which brings obstacle on hardware implementation. This paper proposes a Viterbi algorithm(VA) based T-SOVA to facilitate hardware implementation. In the first stage of our scheme, a modified VA with regular structure is used to fi nd the maximum likelihood(ML) path and calculate the metric differences. Further, local sorting is introduced to trim the metric differences, which reduces the complexity of trimming operation. Simulation results and complexity analysis show that VA based T-SOVA performs as well as lazy VA based T-SOVA and is easier to be applied to hardware implementation. |
doi_str_mv | 10.1109/CC.2017.8014345 |
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In its fi rst stage, a dynamic algorithm, lazy Viterbi algorithm, is used to indicate the minimal metric differences which brings obstacle on hardware implementation. This paper proposes a Viterbi algorithm(VA) based T-SOVA to facilitate hardware implementation. In the first stage of our scheme, a modified VA with regular structure is used to fi nd the maximum likelihood(ML) path and calculate the metric differences. Further, local sorting is introduced to trim the metric differences, which reduces the complexity of trimming operation. Simulation results and complexity analysis show that VA based T-SOVA performs as well as lazy VA based T-SOVA and is easier to be applied to hardware implementation.</description><identifier>ISSN: 1673-5447</identifier><identifier>DOI: 10.1109/CC.2017.8014345</identifier><identifier>CODEN: CCHOBE</identifier><language>eng</language><publisher>China Institute of Communications</publisher><subject>Complexity theory ; Hardware ; hardware implementation ; local sorting ; Measurement ; Simulation ; Sorting ; SOVA ; Turbo codes ; Turbo码 ; Viterbi algorithm ; 仿真结果 ; 动态算法 ; 复杂度分析 ; 最大似然 ; 硬件实现 ; 译码复杂度 ; 软输出维特比算法</subject><ispartof>China communications, 2017-08, Vol.14 (8), p.33-40</ispartof><rights>Copyright © Wanfang Data Co. Ltd. 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In its fi rst stage, a dynamic algorithm, lazy Viterbi algorithm, is used to indicate the minimal metric differences which brings obstacle on hardware implementation. This paper proposes a Viterbi algorithm(VA) based T-SOVA to facilitate hardware implementation. In the first stage of our scheme, a modified VA with regular structure is used to fi nd the maximum likelihood(ML) path and calculate the metric differences. Further, local sorting is introduced to trim the metric differences, which reduces the complexity of trimming operation. Simulation results and complexity analysis show that VA based T-SOVA performs as well as lazy VA based T-SOVA and is easier to be applied to hardware implementation.</description><subject>Complexity theory</subject><subject>Hardware</subject><subject>hardware implementation</subject><subject>local sorting</subject><subject>Measurement</subject><subject>Simulation</subject><subject>Sorting</subject><subject>SOVA</subject><subject>Turbo codes</subject><subject>Turbo码</subject><subject>Viterbi algorithm</subject><subject>仿真结果</subject><subject>动态算法</subject><subject>复杂度分析</subject><subject>最大似然</subject><subject>硬件实现</subject><subject>译码复杂度</subject><subject>软输出维特比算法</subject><issn>1673-5447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpFkL1PAkEQxbfQRILUFjYXjeXBzH5fSTZ-JSQUou3mPnbxCNziHgTwr_cIqNNMMb_3XuYRcoMwRIRsZMyQAqqhBuSMiwvSQ6lYKjhXV2TQtgvoRkvJJO2R-0nYJSas1ku3rzeH5G36MU58iMlsG4vQXSrXXpNLny9bNzjvPnl_epyZl3QyfX4140laMtSbVFKnsVCVLyEvdMm5EFlRsYKBU1hJ6QqBAnWFWYmaZR4qJbjQXEBOvfeU9cnDyXeXNz5v5nYRtrHpEu33fLM__gQaQHTc6MSVMbRtdN6uY73K48Ei2GMF1hh7xO25gk5xe1LUzrk_-v96d_b7DM38q-6SfxGpqNaSasZ-AKKCYVg</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Pei, Ruilin</creator><creator>Wang, Zulin</creator><creator>Huang, Qin</creator><creator>Wang, Jiaqing</creator><general>China Institute of Communications</general><general>Collaborative Innovation Center of Geospatial Technology, Wuhan, 430079, China%State Key Laboratory of Wireless Mobile Communications(CATT), Beijing, 100191, China</general><general>School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China%School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20170801</creationdate><title>Low Complexity SOVA for Turbo Codes</title><author>Pei, Ruilin ; Wang, Zulin ; Huang, Qin ; Wang, Jiaqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-62e81b7dfc0ab8c44559bd3b30e71d66eb51518d19c1839f0d75458450a2fff23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Complexity theory</topic><topic>Hardware</topic><topic>hardware implementation</topic><topic>local sorting</topic><topic>Measurement</topic><topic>Simulation</topic><topic>Sorting</topic><topic>SOVA</topic><topic>Turbo codes</topic><topic>Turbo码</topic><topic>Viterbi algorithm</topic><topic>仿真结果</topic><topic>动态算法</topic><topic>复杂度分析</topic><topic>最大似然</topic><topic>硬件实现</topic><topic>译码复杂度</topic><topic>软输出维特比算法</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pei, Ruilin</creatorcontrib><creatorcontrib>Wang, Zulin</creatorcontrib><creatorcontrib>Huang, Qin</creatorcontrib><creatorcontrib>Wang, Jiaqing</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>China communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pei, Ruilin</au><au>Wang, Zulin</au><au>Huang, Qin</au><au>Wang, Jiaqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low Complexity SOVA for Turbo Codes</atitle><jtitle>China communications</jtitle><stitle>ChinaComm</stitle><addtitle>China Communications</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>14</volume><issue>8</issue><spage>33</spage><epage>40</epage><pages>33-40</pages><issn>1673-5447</issn><coden>CCHOBE</coden><abstract>Recently, trimming Soft-output Viterbi algorithm(T-SOVA) has been proposed to reduce the complexity of SOVA for Turbo codes. 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subjects | Complexity theory Hardware hardware implementation local sorting Measurement Simulation Sorting SOVA Turbo codes Turbo码 Viterbi algorithm 仿真结果 动态算法 复杂度分析 最大似然 硬件实现 译码复杂度 软输出维特比算法 |
title | Low Complexity SOVA for Turbo Codes |
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