Blind channel equalization using chirp modulating signals
This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. In this paper,...
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| Veröffentlicht in: | IEEE transactions on signal processing 2004-05, Vol.52 (5), p.1364-1375 |
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| container_title | IEEE transactions on signal processing |
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| creator | Orozco-Lugo, A.G. McLernon, D.C. |
| description | This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. In this paper, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a batch-type algorithm is obtained for calculating the equalizer's coefficients. Conditions on the chirp sequence parameters are obtained that guarantee an equalization solution. A low-complexity adaptive algorithm is also proposed. Finally, extensive simulations, and comparisons with other well-known blind techniques, illustrate the excellent performance of this algorithm. |
| doi_str_mv | 10.1109/TSP.2004.826161 |
| format | Article |
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Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. In this paper, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a batch-type algorithm is obtained for calculating the equalizer's coefficients. Conditions on the chirp sequence parameters are obtained that guarantee an equalization solution. A low-complexity adaptive algorithm is also proposed. Finally, extensive simulations, and comparisons with other well-known blind techniques, illustrate the excellent performance of this algorithm.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2004.826161</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive algorithm ; Adaptive algorithms ; Algorithms ; Applied sciences ; Baseband ; Blind equalizers ; Blinds ; Channels ; Chirp ; Chirp modulation ; Context ; Detection, estimation, filtering, equalization, prediction ; Digital communication ; Digital modulation ; Equalization ; Exact sciences and technology ; Information, signal and communications theory ; Intersymbol interference ; Mathematical analysis ; Receivers ; Signal and communications theory ; Signal processing ; Signal, noise ; Telecommunications and information theory ; Transmitters</subject><ispartof>IEEE transactions on signal processing, 2004-05, Vol.52 (5), p.1364-1375</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-19e8b3076df653b948f3289c0b1f31307ecaa9204f09420af24b4ed4ec4daad03</citedby><cites>FETCH-LOGICAL-c379t-19e8b3076df653b948f3289c0b1f31307ecaa9204f09420af24b4ed4ec4daad03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1284834$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1284834$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15657179$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Orozco-Lugo, A.G.</creatorcontrib><creatorcontrib>McLernon, D.C.</creatorcontrib><title>Blind channel equalization using chirp modulating signals</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. In this paper, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a batch-type algorithm is obtained for calculating the equalizer's coefficients. Conditions on the chirp sequence parameters are obtained that guarantee an equalization solution. A low-complexity adaptive algorithm is also proposed. Finally, extensive simulations, and comparisons with other well-known blind techniques, illustrate the excellent performance of this algorithm.</description><subject>Adaptive algorithm</subject><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Baseband</subject><subject>Blind equalizers</subject><subject>Blinds</subject><subject>Channels</subject><subject>Chirp</subject><subject>Chirp modulation</subject><subject>Context</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Digital communication</subject><subject>Digital modulation</subject><subject>Equalization</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Intersymbol interference</subject><subject>Mathematical analysis</subject><subject>Receivers</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>Transmitters</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kEtLAzEUhYMoWKtrF26KoK6mzeNOHkstvqCgYAV3IZPJ1JR0pk46C_31pkyh4MLVvZzz3QP3IHRO8JgQrCbzt9cxxRjGknLCyQEaEAUkwyD4YdpxzrJcio9jdBLjEmMCoPgAqbvg63JkP01duzByX50J_sdsfFOPuujrRbJ8ux6tmrILSU5C9IvahHiKjqo03NluDtH7w_18-pTNXh6fp7ezzDKhNhlRThYMC15WPGeFAlkxKpXFBakYSYazxiiKocIKKDYVhQJcCc5CaUyJ2RDd9LnrtvnqXNzolY_WhWBq13RRS8UpCMF4Iq__JakkUgpBEnj5B1w2Xbt9SkvJOAagMkGTHrJtE2PrKr1u_cq035pgvW1cp8b1tnHdN54urnaxJloTqtbU1sf9Wc5zQYRK3EXPeefc3qYSJAP2C2xTiFM</recordid><startdate>20040501</startdate><enddate>20040501</enddate><creator>Orozco-Lugo, A.G.</creator><creator>McLernon, D.C.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>IQODW</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><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20040501</creationdate><title>Blind channel equalization using chirp modulating signals</title><author>Orozco-Lugo, A.G. ; McLernon, D.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-19e8b3076df653b948f3289c0b1f31307ecaa9204f09420af24b4ed4ec4daad03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adaptive algorithm</topic><topic>Adaptive algorithms</topic><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Baseband</topic><topic>Blind equalizers</topic><topic>Blinds</topic><topic>Channels</topic><topic>Chirp</topic><topic>Chirp modulation</topic><topic>Context</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Digital communication</topic><topic>Digital modulation</topic><topic>Equalization</topic><topic>Exact sciences and technology</topic><topic>Information, signal and communications theory</topic><topic>Intersymbol interference</topic><topic>Mathematical analysis</topic><topic>Receivers</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><topic>Transmitters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Orozco-Lugo, A.G.</creatorcontrib><creatorcontrib>McLernon, D.C.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Orozco-Lugo, A.G.</au><au>McLernon, D.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Blind channel equalization using chirp modulating signals</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2004-05-01</date><risdate>2004</risdate><volume>52</volume><issue>5</issue><spage>1364</spage><epage>1375</epage><pages>1364-1375</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. In this paper, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a batch-type algorithm is obtained for calculating the equalizer's coefficients. Conditions on the chirp sequence parameters are obtained that guarantee an equalization solution. A low-complexity adaptive algorithm is also proposed. Finally, extensive simulations, and comparisons with other well-known blind techniques, illustrate the excellent performance of this algorithm.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2004.826161</doi><tpages>12</tpages></addata></record> |
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| ispartof | IEEE transactions on signal processing, 2004-05, Vol.52 (5), p.1364-1375 |
| issn | 1053-587X 1941-0476 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive algorithm Adaptive algorithms Algorithms Applied sciences Baseband Blind equalizers Blinds Channels Chirp Chirp modulation Context Detection, estimation, filtering, equalization, prediction Digital communication Digital modulation Equalization Exact sciences and technology Information, signal and communications theory Intersymbol interference Mathematical analysis Receivers Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Transmitters |
| title | Blind channel equalization using chirp modulating signals |
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