Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates
This paper formulates the channel equalization problem in the framework of constrained maximum-likelihood estimation. This allows us to highlight key issues including the need to summarize past data and to apply a finite alphabet constraint over a sliding optimization window. The approach adopted he...
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| Veröffentlicht in: | IEEE transactions on communications 2007-11, Vol.55 (11), p.2092-2103 |
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| container_end_page | 2103 |
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| container_issue | 11 |
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| container_title | IEEE transactions on communications |
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| creator | Quevedo, Daniel E. Goodwin, Graham C. De Dona, Jose A. |
| description | This paper formulates the channel equalization problem in the framework of constrained maximum-likelihood estimation. This allows us to highlight key issues including the need to summarize past data and to apply a finite alphabet constraint over a sliding optimization window. The approach adopted here leads to embellishments of the usual (nonadaptive) decision-feedback equalizer and its multistep extensions. It includes a provision for degrees of belief in past estimates, which addresses the problem of error propagation. |
| doi_str_mv | 10.1109/TCOMM.2007.908518 |
| format | Article |
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This allows us to highlight key issues including the need to summarize past data and to apply a finite alphabet constraint over a sliding optimization window. The approach adopted here leads to embellishments of the usual (nonadaptive) decision-feedback equalizer and its multistep extensions. 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(IEEE) 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-4b1818bca694670f4349f13a7af4f02b80cc85acd647e1fe73cda0312f6f6acf3</citedby><cites>FETCH-LOGICAL-c460t-4b1818bca694670f4349f13a7af4f02b80cc85acd647e1fe73cda0312f6f6acf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4383302$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4383302$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19439103$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Quevedo, Daniel E.</creatorcontrib><creatorcontrib>Goodwin, Graham C.</creatorcontrib><creatorcontrib>De Dona, Jose A.</creatorcontrib><title>Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>This paper formulates the channel equalization problem in the framework of constrained maximum-likelihood estimation. This allows us to highlight key issues including the need to summarize past data and to apply a finite alphabet constraint over a sliding optimization window. The approach adopted here leads to embellishments of the usual (nonadaptive) decision-feedback equalizer and its multistep extensions. It includes a provision for degrees of belief in past estimates, which addresses the problem of error propagation.</description><subject>Applied sciences</subject><subject>Channels</subject><subject>Constraint optimization</subject><subject>Constraints</subject><subject>Decision feedback equalizers</subject><subject>Decision-feedback equalizers (DFEs)</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Detectors</subject><subject>Dispersion</subject><subject>Equalization</subject><subject>Equalizers</subject><subject>Errors</subject><subject>Estimates</subject><subject>Exact sciences and technology</subject><subject>Finite impulse response filter</subject><subject>Information, signal and communications theory</subject><subject>Interference constraints</subject><subject>Intersymbol interference</subject><subject>Mathematical analysis</subject><subject>Maximum likelihood detection</subject><subject>Maximum likelihood estimation</subject><subject>maximum-likelihood (ML) detection</subject><subject>Miscellaneous</subject><subject>Optimization</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>State estimation</subject><subject>Telecommunications and information theory</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkUFLXDEQx4NUcLvtBxAvoVA9vXXykpfkHetW24VdFGpvhZCNExt55q1J9tBv3-iKQg_1EEKY3wz_yY-QQwYzxqA_vZ5frlazFkDNetAd03tkwrpON_Wh3pEJQA-NVEofkPc53wGAAM4n5NdqO5SQC27oVyzoypior2cZItpEFz8Wzfy3jRGHTBfRjWkzJltCvK34bULMdPT0DIeAnoZIr2wu9DyXcG8L5g9k39sh48fne0p-Xpxfz783y8tvi_mXZeOEhNKINdNMr52VvZAKvOCi94xbZb3w0K41OKc7626kUMg8Ku5uLHDWeumldZ5Pyclu7iaND1vMxdyH7HAYbMRxm00PXLa64-xNUmuoCeQTefxfkgshgHFdwU__gHfjNsW6r9FSMM4UqAqxHeTSmHNCbzap_lH6YxiYR4HmSaB5FGh2AmvP5-fBNjs7-GSjC_m1sRe8Z1XilBztuICIL2VRo3Fo-V8FL6LO</recordid><startdate>20071101</startdate><enddate>20071101</enddate><creator>Quevedo, Daniel E.</creator><creator>Goodwin, Graham C.</creator><creator>De Dona, Jose A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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This allows us to highlight key issues including the need to summarize past data and to apply a finite alphabet constraint over a sliding optimization window. The approach adopted here leads to embellishments of the usual (nonadaptive) decision-feedback equalizer and its multistep extensions. It includes a provision for degrees of belief in past estimates, which addresses the problem of error propagation.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2007.908518</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | IEEE transactions on communications, 2007-11, Vol.55 (11), p.2092-2103 |
| issn | 0090-6778 1558-0857 |
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| subjects | Applied sciences Channels Constraint optimization Constraints Decision feedback equalizers Decision-feedback equalizers (DFEs) Detection, estimation, filtering, equalization, prediction Detectors Dispersion Equalization Equalizers Errors Estimates Exact sciences and technology Finite impulse response filter Information, signal and communications theory Interference constraints Intersymbol interference Mathematical analysis Maximum likelihood detection Maximum likelihood estimation maximum-likelihood (ML) detection Miscellaneous Optimization Signal and communications theory Signal processing Signal, noise State estimation Telecommunications and information theory |
| title | Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates |
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