Multi-binary turbo-code design based on convergence of iterative turbo-decoding process
This paper presents a selection method of convolutonal multi-binary codes, rate 2/3, and of the associated interleavers that are used in turbo codes (TC) in order to obtain efficient BER/FER vs SNR performances. The method uses a selection criterion based on the convergence of turbo decoding iterati...
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| creator | Balta, H Kovaci, M Nafornita, M Balta, M |
| description | This paper presents a selection method of convolutonal multi-binary codes, rate 2/3, and of the associated interleavers that are used in turbo codes (TC) in order to obtain efficient BER/FER vs SNR performances. The method uses a selection criterion based on the convergence of turbo decoding iterative process both for interleavers and for the associated component codes. Results are presented following the selection of duo-binary memory 3 convolutional codes associated with two of the best known methods of interleaving in literature: the almost regular permutations (ARP) and the quadratic polynomial permutations (QPP). The obtained TCs have higher performances to those presented in the literature. |
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The method uses a selection criterion based on the convergence of turbo decoding iterative process both for interleavers and for the associated component codes. Results are presented following the selection of duo-binary memory 3 convolutional codes associated with two of the best known methods of interleaving in literature: the almost regular permutations (ARP) and the quadratic polynomial permutations (QPP). 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The obtained TCs have higher performances to those presented in the literature.</description><subject>Convergence</subject><subject>Convolutional codes</subject><subject>Europe</subject><subject>generator matrix</subject><subject>Iterative decoding</subject><subject>iterative methods</subject><subject>Niobium</subject><subject>permutations</subject><subject>polynomial</subject><subject>Polynomials</subject><subject>turbo code</subject><subject>Turbo codes</subject><isbn>9781612844008</isbn><isbn>1612844006</isbn><isbn>9781612844008</isbn><isbn>9788674663943</isbn><isbn>1612844006</isbn><isbn>867466394X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jb0KwjAUhSMiKNoncLkvUEjtT9JZFBc3wbG0yW25UpOSpAXf3g6dHDzL4fDxcVYsKoVMiuQks4xzuf7ZWxZ5_-Jz8pOQhdix533sA8UNmdp9IIyusbGyGkGjp85AU3vUYA0oayZ0HRqFYFuggK4ONOHiaJwtMh0Mzir0_sA2bd17jJbes-P18jjfYkLEanD0nv-qXKRpyZP0P_0CS6s_zQ</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Balta, H</creator><creator>Kovaci, M</creator><creator>Nafornita, M</creator><creator>Balta, M</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201011</creationdate><title>Multi-binary turbo-code design based on convergence of iterative turbo-decoding process</title><author>Balta, H ; Kovaci, M ; Nafornita, M ; Balta, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_57339013</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Convergence</topic><topic>Convolutional codes</topic><topic>Europe</topic><topic>generator matrix</topic><topic>Iterative decoding</topic><topic>iterative methods</topic><topic>Niobium</topic><topic>permutations</topic><topic>polynomial</topic><topic>Polynomials</topic><topic>turbo code</topic><topic>Turbo codes</topic><toplevel>online_resources</toplevel><creatorcontrib>Balta, H</creatorcontrib><creatorcontrib>Kovaci, M</creatorcontrib><creatorcontrib>Nafornita, M</creatorcontrib><creatorcontrib>Balta, M</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Balta, H</au><au>Kovaci, M</au><au>Nafornita, M</au><au>Balta, M</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-binary turbo-code design based on convergence of iterative turbo-decoding process</atitle><btitle>Proceedings of Papers 5th European Conference on Circuits and Systems for Communications (ECCSC'10)</btitle><stitle>ECCSC</stitle><date>2010-11</date><risdate>2010</risdate><spage>240</spage><epage>243</epage><pages>240-243</pages><isbn>9781612844008</isbn><isbn>1612844006</isbn><eisbn>9781612844008</eisbn><eisbn>9788674663943</eisbn><eisbn>1612844006</eisbn><eisbn>867466394X</eisbn><abstract>This paper presents a selection method of convolutonal multi-binary codes, rate 2/3, and of the associated interleavers that are used in turbo codes (TC) in order to obtain efficient BER/FER vs SNR performances. The method uses a selection criterion based on the convergence of turbo decoding iterative process both for interleavers and for the associated component codes. Results are presented following the selection of duo-binary memory 3 convolutional codes associated with two of the best known methods of interleaving in literature: the almost regular permutations (ARP) and the quadratic polynomial permutations (QPP). The obtained TCs have higher performances to those presented in the literature.</abstract><pub>IEEE</pub></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Convergence Convolutional codes Europe generator matrix Iterative decoding iterative methods Niobium permutations polynomial Polynomials turbo code Turbo codes |
| title | Multi-binary turbo-code design based on convergence of iterative turbo-decoding process |
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