Iterative decoding of codes over complex numbers for impulsive noise channels
We discuss the decoding of error-correcting block codes over complex numbers for the transmission over impulsive noise channels. The encoder multiplies a vector of complex information symbols resulting from a modulation scheme, e.g., quadrature amplitude modulation (QAM), with a unitary generator ma...
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Veröffentlicht in: | IEEE transactions on information theory 2003-05, Vol.49 (5), p.1251-1260 |
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description | We discuss the decoding of error-correcting block codes over complex numbers for the transmission over impulsive noise channels. The encoder multiplies a vector of complex information symbols resulting from a modulation scheme, e.g., quadrature amplitude modulation (QAM), with a unitary generator matrix G. Choosing the inverse Fourier transform as G, the encoding procedure is similar to orthogonal frequency-division multiplex (OFDM) modulation. The maximum a posteriori (MAP) receiver is analyzed and a suboptimum decoder based on the turbo decoding principle is derived. Simulation results show the excellent performance of the iterative decoder. |
doi_str_mv | 10.1109/TIT.2003.810636 |
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The encoder multiplies a vector of complex information symbols resulting from a modulation scheme, e.g., quadrature amplitude modulation (QAM), with a unitary generator matrix G. Choosing the inverse Fourier transform as G, the encoding procedure is similar to orthogonal frequency-division multiplex (OFDM) modulation. The maximum a posteriori (MAP) receiver is analyzed and a suboptimum decoder based on the turbo decoding principle is derived. Simulation results show the excellent performance of the iterative decoder.</description><identifier>ISSN: 0018-9448</identifier><identifier>EISSN: 1557-9654</identifier><identifier>DOI: 10.1109/TIT.2003.810636</identifier><identifier>CODEN: IETTAW</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Additive white noise ; Amplitude modulation ; AWGN ; Block codes ; Codes ; Euclidean distance ; Fourier transforms ; Gaussian noise ; Information systems ; Iterative decoding ; OFDM modulation ; Quadrature amplitude modulation ; Theory</subject><ispartof>IEEE transactions on information theory, 2003-05, Vol.49 (5), p.1251-1260</ispartof><rights>Copyright Institute of Electrical and Electronics Engineers, Inc. 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The encoder multiplies a vector of complex information symbols resulting from a modulation scheme, e.g., quadrature amplitude modulation (QAM), with a unitary generator matrix G. Choosing the inverse Fourier transform as G, the encoding procedure is similar to orthogonal frequency-division multiplex (OFDM) modulation. The maximum a posteriori (MAP) receiver is analyzed and a suboptimum decoder based on the turbo decoding principle is derived. Simulation results show the excellent performance of the iterative decoder.</description><subject>Additive white noise</subject><subject>Amplitude modulation</subject><subject>AWGN</subject><subject>Block codes</subject><subject>Codes</subject><subject>Euclidean distance</subject><subject>Fourier transforms</subject><subject>Gaussian noise</subject><subject>Information systems</subject><subject>Iterative decoding</subject><subject>OFDM modulation</subject><subject>Quadrature amplitude modulation</subject><subject>Theory</subject><issn>0018-9448</issn><issn>1557-9654</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhhdRsFbPHrwED97S7nd2j1L8KFS81POy2Uw0JcnG3aTov3dLBcHTzMDzzgwPQtcELwjBerldbxcUY7ZQBEsmT9CMCFHkWgp-imYYE5VrztU5uohxl0YuCJ2hl_UIwY7NHrIKnK-a_j3zdZY6iJnfQ0htN7TwlfVTV0KIWe1D1nTD1MZDqPdNhMx92L6HNl6is9q2Ea5-6xy9PT5sV8_55vVpvbrf5I6RYsxLxql0qmKWacsLQUtZl46KWhSSlk5izYmqJdVVJTnHXDNaW9ClVlBayhibo7vj3iH4zwniaLomOmhb24OfoqFKKkyYSODtP3Dnp9Cn3wzRQimRbiVoeYRc8DEGqM0Qms6Gb0OwObg1ya05uDVHtylxc0w0APBHE10oQdkPS1p0uw</recordid><startdate>20030501</startdate><enddate>20030501</enddate><creator>Jurgen Haring</creator><creator>Vinck, A.J.H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20030501</creationdate><title>Iterative decoding of codes over complex numbers for impulsive noise channels</title><author>Jurgen Haring ; Vinck, A.J.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-b3426c8d3a39a4752b6fbc25f5762bc609418f629dd64404932fae9b98eba2333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Additive white noise</topic><topic>Amplitude modulation</topic><topic>AWGN</topic><topic>Block codes</topic><topic>Codes</topic><topic>Euclidean distance</topic><topic>Fourier transforms</topic><topic>Gaussian noise</topic><topic>Information systems</topic><topic>Iterative decoding</topic><topic>OFDM modulation</topic><topic>Quadrature amplitude modulation</topic><topic>Theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jurgen Haring</creatorcontrib><creatorcontrib>Vinck, A.J.H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on information theory</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jurgen Haring</au><au>Vinck, A.J.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Iterative decoding of codes over complex numbers for impulsive noise channels</atitle><jtitle>IEEE transactions on information theory</jtitle><stitle>TIT</stitle><date>2003-05-01</date><risdate>2003</risdate><volume>49</volume><issue>5</issue><spage>1251</spage><epage>1260</epage><pages>1251-1260</pages><issn>0018-9448</issn><eissn>1557-9654</eissn><coden>IETTAW</coden><abstract>We discuss the decoding of error-correcting block codes over complex numbers for the transmission over impulsive noise channels. The encoder multiplies a vector of complex information symbols resulting from a modulation scheme, e.g., quadrature amplitude modulation (QAM), with a unitary generator matrix G. Choosing the inverse Fourier transform as G, the encoding procedure is similar to orthogonal frequency-division multiplex (OFDM) modulation. The maximum a posteriori (MAP) receiver is analyzed and a suboptimum decoder based on the turbo decoding principle is derived. Simulation results show the excellent performance of the iterative decoder.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIT.2003.810636</doi><tpages>10</tpages></addata></record> |
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subjects | Additive white noise Amplitude modulation AWGN Block codes Codes Euclidean distance Fourier transforms Gaussian noise Information systems Iterative decoding OFDM modulation Quadrature amplitude modulation Theory |
title | Iterative decoding of codes over complex numbers for impulsive noise channels |
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