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...
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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 |
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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. 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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> |
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identifier | ISSN: 1058-6393 |
ispartof | Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005, 2005, p.692-696 |
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language | eng |
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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 |
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