Blind identification of non-stationary MA systems

A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the imp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics letters 2002-09, Vol.38 (19), p.1145-1147, Article 1145
Hauptverfasser: Alameda, E., Ruiz, D.P., Blanco, D., Carrión, M.C.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1147
container_issue 19
container_start_page 1145
container_title Electronics letters
container_volume 38
creator Alameda, E.
Ruiz, D.P.
Blanco, D.
Carrión, M.C.
description A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via au overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems.
doi_str_mv 10.1049/el:20020634
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27050180</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27050180</sourcerecordid><originalsourceid>FETCH-LOGICAL-c262t-49f11f50d3047c689d390b18d52c99265659a1abb06fc8fbb350a419403847e73</originalsourceid><addsrcrecordid>eNptkE1LxDAQhoMoWFdP_oGevEh1Jh9t421d1g9Y8aLgLaRpApG0XZvsYf-91epFPA0vPDM88xJyjnCFwOW1DTcUgELJ-AHJkAkoJOLbIckAkBUCJT8mJzG-T5FKWWUEb4Pv29y3tk_eeaOTH_p8cHk_9EVM31GP-_xpmcd9TLaLp-TI6RDt2c9ckNe79cvqodg83z-ulpvC0JKmgkuH6AS0DHhlylq2TEKDdSuokZKWohRSo24aKJ2pXdNMsppPgsBqXtmKLcjFfHc7Dh87G5PqfDQ2BN3bYRcVrUAA1jCBlzNoxiHG0Tq1HX03SSsE9VWLskH91jLR-Ic2fn4zjdqHf3c-AWUOY9E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27050180</pqid></control><display><type>article</type><title>Blind identification of non-stationary MA systems</title><source>Alma/SFX Local Collection</source><creator>Alameda, E. ; Ruiz, D.P. ; Blanco, D. ; Carrión, M.C.</creator><creatorcontrib>Alameda, E. ; Ruiz, D.P. ; Blanco, D. ; Carrión, M.C.</creatorcontrib><description>A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via au overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems.</description><identifier>ISSN: 0013-5194</identifier><identifier>EISSN: 1350-911X</identifier><identifier>DOI: 10.1049/el:20020634</identifier><language>eng</language><ispartof>Electronics letters, 2002-09, Vol.38 (19), p.1145-1147, Article 1145</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c262t-49f11f50d3047c689d390b18d52c99265659a1abb06fc8fbb350a419403847e73</citedby><cites>FETCH-LOGICAL-c262t-49f11f50d3047c689d390b18d52c99265659a1abb06fc8fbb350a419403847e73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Alameda, E.</creatorcontrib><creatorcontrib>Ruiz, D.P.</creatorcontrib><creatorcontrib>Blanco, D.</creatorcontrib><creatorcontrib>Carrión, M.C.</creatorcontrib><title>Blind identification of non-stationary MA systems</title><title>Electronics letters</title><description>A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via au overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems.</description><issn>0013-5194</issn><issn>1350-911X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNptkE1LxDAQhoMoWFdP_oGevEh1Jh9t421d1g9Y8aLgLaRpApG0XZvsYf-91epFPA0vPDM88xJyjnCFwOW1DTcUgELJ-AHJkAkoJOLbIckAkBUCJT8mJzG-T5FKWWUEb4Pv29y3tk_eeaOTH_p8cHk_9EVM31GP-_xpmcd9TLaLp-TI6RDt2c9ckNe79cvqodg83z-ulpvC0JKmgkuH6AS0DHhlylq2TEKDdSuokZKWohRSo24aKJ2pXdNMsppPgsBqXtmKLcjFfHc7Dh87G5PqfDQ2BN3bYRcVrUAA1jCBlzNoxiHG0Tq1HX03SSsE9VWLskH91jLR-Ic2fn4zjdqHf3c-AWUOY9E</recordid><startdate>20020912</startdate><enddate>20020912</enddate><creator>Alameda, E.</creator><creator>Ruiz, D.P.</creator><creator>Blanco, D.</creator><creator>Carrión, M.C.</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20020912</creationdate><title>Blind identification of non-stationary MA systems</title><author>Alameda, E. ; Ruiz, D.P. ; Blanco, D. ; Carrión, M.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c262t-49f11f50d3047c689d390b18d52c99265659a1abb06fc8fbb350a419403847e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alameda, E.</creatorcontrib><creatorcontrib>Ruiz, D.P.</creatorcontrib><creatorcontrib>Blanco, D.</creatorcontrib><creatorcontrib>Carrión, M.C.</creatorcontrib><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alameda, E.</au><au>Ruiz, D.P.</au><au>Blanco, D.</au><au>Carrión, M.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Blind identification of non-stationary MA systems</atitle><jtitle>Electronics letters</jtitle><date>2002-09-12</date><risdate>2002</risdate><volume>38</volume><issue>19</issue><spage>1145</spage><epage>1147</epage><pages>1145-1147</pages><artnum>1145</artnum><issn>0013-5194</issn><eissn>1350-911X</eissn><abstract>A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via au overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems.</abstract><doi>10.1049/el:20020634</doi><tpages>3</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0013-5194
ispartof Electronics letters, 2002-09, Vol.38 (19), p.1145-1147, Article 1145
issn 0013-5194
1350-911X
language eng
recordid cdi_proquest_miscellaneous_27050180
source Alma/SFX Local Collection
title Blind identification of non-stationary MA systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T05%3A28%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Blind%20identification%20of%20non-stationary%20MA%20systems&rft.jtitle=Electronics%20letters&rft.au=Alameda,%20E.&rft.date=2002-09-12&rft.volume=38&rft.issue=19&rft.spage=1145&rft.epage=1147&rft.pages=1145-1147&rft.artnum=1145&rft.issn=0013-5194&rft.eissn=1350-911X&rft_id=info:doi/10.1049/el:20020634&rft_dat=%3Cproquest_cross%3E27050180%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=27050180&rft_id=info:pmid/&rfr_iscdi=true