Turbo decoding performance in non Gaussian noise channels
Most of results in channel coding theory have been accomplished basing on the additive white Gaussian noise (AWGN) channels assumption. This hypothesis is not fulfilled in realistic environments in communications applications. In this paper, we investigate the robustness of the turbo code decoding a...
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| creator | Majoul, T. Raouafi, F. Jaidane, M. |
| description | Most of results in channel coding theory have been accomplished basing on the additive white Gaussian noise (AWGN) channels assumption. This hypothesis is not fulfilled in realistic environments in communications applications. In this paper, we investigate the robustness of the turbo code decoding algorithm in presence of a generalized Gaussian (GG) noise. This noise model has been proposed for modeling in many applications such as audio and speech processing. The probability density function (PDF) of such model depends on a shape parameter which determines the decay rate of the distribution. This paper presents the decoding performances of turbo code in terms of bit error rate (BER) when the noise PDF departs from Gaussianity into a GG distribution. |
| doi_str_mv | 10.1109/SSD.2009.4956730 |
| format | Conference Proceeding |
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This paper presents the decoding performances of turbo code in terms of bit error rate (BER) when the noise PDF departs from Gaussianity into a GG distribution.</description><subject>Additive white noise</subject><subject>AWGN</subject><subject>Bit error rate</subject><subject>Channel coding</subject><subject>Decoding</subject><subject>Gaussian noise</subject><subject>generalized Gaussian noise</subject><subject>MAP algorithm</subject><subject>Noise robustness</subject><subject>Noise shaping</subject><subject>SOVA algorithm</subject><subject>Turbo code</subject><subject>Turbo codes</subject><subject>Working environment noise</subject><isbn>1424443458</isbn><isbn>9781424443451</isbn><isbn>9781424443468</isbn><isbn>1424443466</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j0FLAzEUhCNS0Na9C17yB7a-JG-zeUepWoWCh-69ZLNvNdJmy8Ye_Pe22M5l-GCYYYS4VzBXCuhxvX6eawCaI1W2NnAlCqqdQo2IBq27FtMLVG4ipqcsgUYwN6LI-RuOwko7V98Kag5jO8iOw9DF9Cn3PPbDuPMpsIxJpiHJpT_kHP0JYmYZvnxKvM13YtL7bebi7DPRvL40i7dy9bF8XzytykjwU1bWORWOW7Yz1oeud4FMbw0xo1YY-rbuWFtFGhiNrTyR9YbbOvjAKoCZiYf_2sjMm_0Yd3783Zyfmz8rnkmu</recordid><startdate>200903</startdate><enddate>200903</enddate><creator>Majoul, T.</creator><creator>Raouafi, F.</creator><creator>Jaidane, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200903</creationdate><title>Turbo decoding performance in non Gaussian noise channels</title><author>Majoul, T. ; Raouafi, F. ; Jaidane, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-56881c2886d36acdf8c93f639ee4214cfb7de261920e4365a996a3eb7cace1c03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Additive white noise</topic><topic>AWGN</topic><topic>Bit error rate</topic><topic>Channel coding</topic><topic>Decoding</topic><topic>Gaussian noise</topic><topic>generalized Gaussian noise</topic><topic>MAP algorithm</topic><topic>Noise robustness</topic><topic>Noise shaping</topic><topic>SOVA algorithm</topic><topic>Turbo code</topic><topic>Turbo codes</topic><topic>Working environment noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Majoul, T.</creatorcontrib><creatorcontrib>Raouafi, F.</creatorcontrib><creatorcontrib>Jaidane, 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>Majoul, T.</au><au>Raouafi, F.</au><au>Jaidane, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Turbo decoding performance in non Gaussian noise channels</atitle><btitle>2009 6th International Multi-Conference on Systems, Signals and Devices</btitle><stitle>SSD</stitle><date>2009-03</date><risdate>2009</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>1424443458</isbn><isbn>9781424443451</isbn><eisbn>9781424443468</eisbn><eisbn>1424443466</eisbn><abstract>Most of results in channel coding theory have been accomplished basing on the additive white Gaussian noise (AWGN) channels assumption. This hypothesis is not fulfilled in realistic environments in communications applications. In this paper, we investigate the robustness of the turbo code decoding algorithm in presence of a generalized Gaussian (GG) noise. This noise model has been proposed for modeling in many applications such as audio and speech processing. The probability density function (PDF) of such model depends on a shape parameter which determines the decay rate of the distribution. This paper presents the decoding performances of turbo code in terms of bit error rate (BER) when the noise PDF departs from Gaussianity into a GG distribution.</abstract><pub>IEEE</pub><doi>10.1109/SSD.2009.4956730</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2009 6th International Multi-Conference on Systems, Signals and Devices, 2009, p.1-4 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive white noise AWGN Bit error rate Channel coding Decoding Gaussian noise generalized Gaussian noise MAP algorithm Noise robustness Noise shaping SOVA algorithm Turbo code Turbo codes Working environment noise |
| title | Turbo decoding performance in non Gaussian noise channels |
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