Soft-Output MIMO Detectors with Channel Estimation Error
New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, sh...
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Veröffentlicht in: | IEEE signal processing letters 2015-07, Vol.22 (7), p.993-997 |
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description | New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation. |
doi_str_mv | 10.1109/LSP.2014.2374425 |
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A. ; Alex, Sam P. ; Mansour, Mohammad M.</creator><creatorcontrib>Jalloul, Louay M. A. ; Alex, Sam P. ; Mansour, Mohammad M.</creatorcontrib><description>New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2014.2374425</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>IEEE</publisher><subject>Channel estimation ; Channel estimation error ; Channels ; Design engineering ; Detectors ; Error detection ; Errors ; log-likelihood ratio ; maximum likelihood ; Measurement ; MIMO ; MMSE ; QAM ; Quadrature amplitude modulation ; Receivers ; Simplification ; Vectors</subject><ispartof>IEEE signal processing letters, 2015-07, Vol.22 (7), p.993-997</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c296t-7ec6b974724b0af34486a76093b5c12a975226fd642ff9220f7d00bd2dd0cb363</citedby><cites>FETCH-LOGICAL-c296t-7ec6b974724b0af34486a76093b5c12a975226fd642ff9220f7d00bd2dd0cb363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6967799$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6967799$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jalloul, Louay M. A.</creatorcontrib><creatorcontrib>Alex, Sam P.</creatorcontrib><creatorcontrib>Mansour, Mohammad M.</creatorcontrib><title>Soft-Output MIMO Detectors with Channel Estimation Error</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation.</description><subject>Channel estimation</subject><subject>Channel estimation error</subject><subject>Channels</subject><subject>Design engineering</subject><subject>Detectors</subject><subject>Error detection</subject><subject>Errors</subject><subject>log-likelihood ratio</subject><subject>maximum likelihood</subject><subject>Measurement</subject><subject>MIMO</subject><subject>MMSE</subject><subject>QAM</subject><subject>Quadrature amplitude modulation</subject><subject>Receivers</subject><subject>Simplification</subject><subject>Vectors</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtLAzEUhYMoWKt7wc0s3Uy9eU-WUusDWipU1yGTSejIdFKTDOK_d0qLq3sW3zlcPoRuMcwwBvWw3LzPCGA2I1QyRvgZmmDOq5JQgc_HDBJKpaC6RFcpfQFAhSs-QdUm-Fyuh7wfcrF6W62LJ5edzSGm4qfN22K-NX3vumKRcrszuQ19sYgxxGt04U2X3M3pTtHn8-Jj_lou1y9v88dlaYkSuZTOilpJJgmrwXjKWCWMFKBozS0mRklOiPCNYMR7RQh42QDUDWkasDUVdIruj7v7GL4Hl7Letcm6rjO9C0PSWHDMgDEMIwpH1MaQUnRe7-P4c_zVGPRBkh4l6YMkfZI0Vu6OldY5948LJaRUiv4BZchhMQ</recordid><startdate>201507</startdate><enddate>201507</enddate><creator>Jalloul, Louay M. A.</creator><creator>Alex, Sam P.</creator><creator>Mansour, Mohammad M.</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201507</creationdate><title>Soft-Output MIMO Detectors with Channel Estimation Error</title><author>Jalloul, Louay M. A. ; Alex, Sam P. ; Mansour, Mohammad M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c296t-7ec6b974724b0af34486a76093b5c12a975226fd642ff9220f7d00bd2dd0cb363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Channel estimation</topic><topic>Channel estimation error</topic><topic>Channels</topic><topic>Design engineering</topic><topic>Detectors</topic><topic>Error detection</topic><topic>Errors</topic><topic>log-likelihood ratio</topic><topic>maximum likelihood</topic><topic>Measurement</topic><topic>MIMO</topic><topic>MMSE</topic><topic>QAM</topic><topic>Quadrature amplitude modulation</topic><topic>Receivers</topic><topic>Simplification</topic><topic>Vectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jalloul, Louay M. A.</creatorcontrib><creatorcontrib>Alex, Sam P.</creatorcontrib><creatorcontrib>Mansour, Mohammad M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><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>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering 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 signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jalloul, Louay M. A.</au><au>Alex, Sam P.</au><au>Mansour, Mohammad M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Soft-Output MIMO Detectors with Channel Estimation Error</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2015-07</date><risdate>2015</risdate><volume>22</volume><issue>7</issue><spage>993</spage><epage>997</epage><pages>993-997</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation.</abstract><pub>IEEE</pub><doi>10.1109/LSP.2014.2374425</doi><tpages>5</tpages></addata></record> |
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subjects | Channel estimation Channel estimation error Channels Design engineering Detectors Error detection Errors log-likelihood ratio maximum likelihood Measurement MIMO MMSE QAM Quadrature amplitude modulation Receivers Simplification Vectors |
title | Soft-Output MIMO Detectors with Channel Estimation Error |
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