Joint structured channel and data estimation over time-varying channels
This paper describes an adaptive maximum likelihood sequence estimation (MLSE) receiver based on a structured linear channel model. Specifically, known prior information about the transmit filter is used to obtain a structured channel model linearly parameterized by a time-varying vector. We show th...
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| creator | Boon Chong Ng Diggavi, S.N. Paulraj, A. |
| description | This paper describes an adaptive maximum likelihood sequence estimation (MLSE) receiver based on a structured linear channel model. Specifically, known prior information about the transmit filter is used to obtain a structured channel model linearly parameterized by a time-varying vector. We show that the total oversampled FIR channel vector lies within the subspace of a matrix associated only with the samples of the transmit pulse shape. The resulting structured channel model has typically less numbers of unknown parameters than the conventional unknown FIR channel model. Joint structured channel and data estimation (JSCDE) is done based on a per-survivor processing (PSP) approach. A reduced complexity scheme for JSCDE is also proposed that uses delayed decision feedback for each survivor in a reduced trellis. |
| doi_str_mv | 10.1109/GLOCOM.1997.632579 |
| format | Conference Proceeding |
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Specifically, known prior information about the transmit filter is used to obtain a structured channel model linearly parameterized by a time-varying vector. We show that the total oversampled FIR channel vector lies within the subspace of a matrix associated only with the samples of the transmit pulse shape. The resulting structured channel model has typically less numbers of unknown parameters than the conventional unknown FIR channel model. Joint structured channel and data estimation (JSCDE) is done based on a per-survivor processing (PSP) approach. A reduced complexity scheme for JSCDE is also proposed that uses delayed decision feedback for each survivor in a reduced trellis.</description><identifier>ISBN: 9780780341982</identifier><identifier>ISBN: 0780341988</identifier><identifier>DOI: 10.1109/GLOCOM.1997.632579</identifier><language>eng</language><publisher>IEEE</publisher><subject>Delay estimation ; Fading ; Finite impulse response filter ; Information filtering ; Information filters ; Maximum likelihood estimation ; Pulse shaping methods ; Time division multiple access ; Time-varying channels ; TV receivers</subject><ispartof>GLOBECOM 97. IEEE Global Telecommunications Conference. 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Conference Record</title><addtitle>GLOCOM</addtitle><description>This paper describes an adaptive maximum likelihood sequence estimation (MLSE) receiver based on a structured linear channel model. Specifically, known prior information about the transmit filter is used to obtain a structured channel model linearly parameterized by a time-varying vector. We show that the total oversampled FIR channel vector lies within the subspace of a matrix associated only with the samples of the transmit pulse shape. The resulting structured channel model has typically less numbers of unknown parameters than the conventional unknown FIR channel model. Joint structured channel and data estimation (JSCDE) is done based on a per-survivor processing (PSP) approach. A reduced complexity scheme for JSCDE is also proposed that uses delayed decision feedback for each survivor in a reduced trellis.</description><subject>Delay estimation</subject><subject>Fading</subject><subject>Finite impulse response filter</subject><subject>Information filtering</subject><subject>Information filters</subject><subject>Maximum likelihood estimation</subject><subject>Pulse shaping methods</subject><subject>Time division multiple access</subject><subject>Time-varying channels</subject><subject>TV receivers</subject><isbn>9780780341982</isbn><isbn>0780341988</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9Ts0KwjAYK4ig6F5gp-8FNtv9uPU8dCLKLt5H2T61Mjtpu8He3oJ6NQRCSAghxGc0ZIzyTXmqiuocMs6zcBtHacZnxONZTh3jhPE8WhDPmAd1SNKU0mhJymMvlQVj9dDYQWMLzV0ohR0I1UIrrAA0Vj6Flb2CfkQNzmEwCj1Jdfu1zZrMr6Iz6H11Rfz97lIcAomI9Uu7BT3Vn1fx3_ANIQo8rQ</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Boon Chong Ng</creator><creator>Diggavi, S.N.</creator><creator>Paulraj, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Joint structured channel and data estimation over time-varying channels</title><author>Boon Chong Ng ; Diggavi, S.N. ; Paulraj, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6325793</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Delay estimation</topic><topic>Fading</topic><topic>Finite impulse response filter</topic><topic>Information filtering</topic><topic>Information filters</topic><topic>Maximum likelihood estimation</topic><topic>Pulse shaping methods</topic><topic>Time division multiple access</topic><topic>Time-varying channels</topic><topic>TV receivers</topic><toplevel>online_resources</toplevel><creatorcontrib>Boon Chong Ng</creatorcontrib><creatorcontrib>Diggavi, S.N.</creatorcontrib><creatorcontrib>Paulraj, A.</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>Boon Chong Ng</au><au>Diggavi, S.N.</au><au>Paulraj, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Joint structured channel and data estimation over time-varying channels</atitle><btitle>GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record</btitle><stitle>GLOCOM</stitle><date>1997</date><risdate>1997</risdate><volume>1</volume><spage>409</spage><epage>413 vol.1</epage><pages>409-413 vol.1</pages><isbn>9780780341982</isbn><isbn>0780341988</isbn><abstract>This paper describes an adaptive maximum likelihood sequence estimation (MLSE) receiver based on a structured linear channel model. Specifically, known prior information about the transmit filter is used to obtain a structured channel model linearly parameterized by a time-varying vector. We show that the total oversampled FIR channel vector lies within the subspace of a matrix associated only with the samples of the transmit pulse shape. The resulting structured channel model has typically less numbers of unknown parameters than the conventional unknown FIR channel model. Joint structured channel and data estimation (JSCDE) is done based on a per-survivor processing (PSP) approach. A reduced complexity scheme for JSCDE is also proposed that uses delayed decision feedback for each survivor in a reduced trellis.</abstract><pub>IEEE</pub><doi>10.1109/GLOCOM.1997.632579</doi></addata></record> |
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| identifier | ISBN: 9780780341982 |
| ispartof | GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record, 1997, Vol.1, p.409-413 vol.1 |
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| language | eng |
| recordid | cdi_ieee_primary_632579 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Delay estimation Fading Finite impulse response filter Information filtering Information filters Maximum likelihood estimation Pulse shaping methods Time division multiple access Time-varying channels TV receivers |
| title | Joint structured channel and data estimation over time-varying channels |
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