Analysis of Decision-Feedback Based Broadband OFDM Systems

In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: de Baynast, A., Sabharwal, A., Aazhang, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 696
container_issue
container_start_page 692
container_title
container_volume
creator de Baynast, A.
Sabharwal, A.
Aazhang, B.
description In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to the channel estimator in order to re-estimate the channel more accurately. However, semi-blind approach can significantly deteriorate the performance if the bit error rate is high. In this paper, we propose to determine analytically the minimum signal to noise ratio (SNR) from which a semi-blind method starts to outperform a training sequence based only system
doi_str_mv 10.1109/ACSSC.2005.1599840
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1599840</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1599840</ieee_id><sourcerecordid>1599840</sourcerecordid><originalsourceid>FETCH-LOGICAL-i219t-2ca5f06fab8ca917a27b48edc525f817ea088c17647a8e93cd0a70f13dea57e83</originalsourceid><addsrcrecordid>eNotj8tOg0AUQCc-EkntD-iGHwDvnQcz447SoiY1XVTXzWW4JGgLhumGv9fErk7O5iRHiAeEHBH8U1nt91UuAUyOxnun4Uok0tgikwrUtVh661BLrQEV6huRIBiXFcqrO7GM8QsA0BfOOp2I53Kg4xz7mI5duubQx34cspq5bSh8pyuK3KaraaQ_H9p0V6_f0_0cz3yK9-K2o2Pk5YUL8VlvPqrXbLt7eavKbdZL9OdMBjIdFB01LpBHS9I22nEbjDSdQ8sEzgW0hbbk2KvQAlnoULVMxrJTC_H43-2Z-fAz9Sea5sPlXP0CQ1NJeQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Analysis of Decision-Feedback Based Broadband OFDM Systems</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>de Baynast, A. ; Sabharwal, A. ; Aazhang, B.</creator><creatorcontrib>de Baynast, A. ; Sabharwal, A. ; Aazhang, B.</creatorcontrib><description>In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to the channel estimator in order to re-estimate the channel more accurately. However, semi-blind approach can significantly deteriorate the performance if the bit error rate is high. In this paper, we propose to determine analytically the minimum signal to noise ratio (SNR) from which a semi-blind method starts to outperform a training sequence based only system</description><identifier>ISSN: 1058-6393</identifier><identifier>ISBN: 9781424401314</identifier><identifier>ISBN: 1424401313</identifier><identifier>EISSN: 2576-2303</identifier><identifier>DOI: 10.1109/ACSSC.2005.1599840</identifier><language>eng</language><publisher>IEEE</publisher><subject>Additive noise ; Bandwidth ; Bit error rate ; Channel estimation ; Detectors ; Fading ; OFDM ; Signal analysis ; Signal to noise ratio ; Wireless communication</subject><ispartof>Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005, 2005, p.692-696</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1599840$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1599840$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>de Baynast, A.</creatorcontrib><creatorcontrib>Sabharwal, A.</creatorcontrib><creatorcontrib>Aazhang, B.</creatorcontrib><title>Analysis of Decision-Feedback Based Broadband OFDM Systems</title><title>Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005</title><addtitle>ACSSC</addtitle><description>In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to the channel estimator in order to re-estimate the channel more accurately. However, semi-blind approach can significantly deteriorate the performance if the bit error rate is high. In this paper, we propose to determine analytically the minimum signal to noise ratio (SNR) from which a semi-blind method starts to outperform a training sequence based only system</description><subject>Additive noise</subject><subject>Bandwidth</subject><subject>Bit error rate</subject><subject>Channel estimation</subject><subject>Detectors</subject><subject>Fading</subject><subject>OFDM</subject><subject>Signal analysis</subject><subject>Signal to noise ratio</subject><subject>Wireless communication</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>9781424401314</isbn><isbn>1424401313</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tOg0AUQCc-EkntD-iGHwDvnQcz447SoiY1XVTXzWW4JGgLhumGv9fErk7O5iRHiAeEHBH8U1nt91UuAUyOxnun4Uok0tgikwrUtVh661BLrQEV6huRIBiXFcqrO7GM8QsA0BfOOp2I53Kg4xz7mI5duubQx34cspq5bSh8pyuK3KaraaQ_H9p0V6_f0_0cz3yK9-K2o2Pk5YUL8VlvPqrXbLt7eavKbdZL9OdMBjIdFB01LpBHS9I22nEbjDSdQ8sEzgW0hbbk2KvQAlnoULVMxrJTC_H43-2Z-fAz9Sea5sPlXP0CQ1NJeQ</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>de Baynast, A.</creator><creator>Sabharwal, A.</creator><creator>Aazhang, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>Analysis of Decision-Feedback Based Broadband OFDM Systems</title><author>de Baynast, A. ; Sabharwal, A. ; Aazhang, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i219t-2ca5f06fab8ca917a27b48edc525f817ea088c17647a8e93cd0a70f13dea57e83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Additive noise</topic><topic>Bandwidth</topic><topic>Bit error rate</topic><topic>Channel estimation</topic><topic>Detectors</topic><topic>Fading</topic><topic>OFDM</topic><topic>Signal analysis</topic><topic>Signal to noise ratio</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>de Baynast, A.</creatorcontrib><creatorcontrib>Sabharwal, A.</creatorcontrib><creatorcontrib>Aazhang, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Baynast, A.</au><au>Sabharwal, A.</au><au>Aazhang, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Analysis of Decision-Feedback Based Broadband OFDM Systems</atitle><btitle>Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005</btitle><stitle>ACSSC</stitle><date>2005</date><risdate>2005</risdate><spage>692</spage><epage>696</epage><pages>692-696</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>9781424401314</isbn><isbn>1424401313</isbn><abstract>In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to the channel estimator in order to re-estimate the channel more accurately. However, semi-blind approach can significantly deteriorate the performance if the bit error rate is high. In this paper, we propose to determine analytically the minimum signal to noise ratio (SNR) from which a semi-blind method starts to outperform a training sequence based only system</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.2005.1599840</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1058-6393
ispartof Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005, 2005, p.692-696
issn 1058-6393
2576-2303
language eng
recordid cdi_ieee_primary_1599840
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Additive noise
Bandwidth
Bit error rate
Channel estimation
Detectors
Fading
OFDM
Signal analysis
Signal to noise ratio
Wireless communication
title Analysis of Decision-Feedback Based Broadband OFDM Systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T18%3A44%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Analysis%20of%20Decision-Feedback%20Based%20Broadband%20OFDM%20Systems&rft.btitle=Conference%20Record%20of%20the%20Thirty-Ninth%20Asilomar%20Conference%20onSignals,%20Systems%20and%20Computers,%202005&rft.au=de%20Baynast,%20A.&rft.date=2005&rft.spage=692&rft.epage=696&rft.pages=692-696&rft.issn=1058-6393&rft.eissn=2576-2303&rft.isbn=9781424401314&rft.isbn_list=1424401313&rft_id=info:doi/10.1109/ACSSC.2005.1599840&rft_dat=%3Cieee_6IE%3E1599840%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1599840&rfr_iscdi=true