Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems
The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical...
Gespeichert in:
Veröffentlicht in: | Wireless personal communications 2015-03, Vol.81 (2), p.473-487 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 487 |
---|---|
container_issue | 2 |
container_start_page | 473 |
container_title | Wireless personal communications |
container_volume | 81 |
creator | Besseghier, Mokhtar Djebbar, Ahmed Bouzidi Dayoub, Iyad |
description | The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical OFDM receiver that suffers from CFO has been addressed in this paper. We first derived the modified MUSIC based blind CFO estimator. Next, we propose new joint training-based and joint semi-blind CFO and channel estimation for OFDM systems. Whereas the training-based estimator only assumes knowledge of pilot tones, the semi-blind estimator assumes knowledge of the virtual subcarriers (VSCs). For both estimators we derive a maximum likelihood (ML) algorithm for block processing and LMS algorithm for adaptive processing. It is demonstrated that the CFO estimators are able to perform well with a very small number of OFDM blocks. The performance of our estimators was investigated by simulations. |
doi_str_mv | 10.1007/s11277-014-2139-7 |
format | Article |
fullrecord | <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03383003v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_HAL_hal_03383003v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c344t-7d3d78df35b5da67c887edbefb3bc765a7e690a96a36738e54db76b06467f3753</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EEuXxAey8ZWHwI_Ekyyq0FFTURUFiZ9mxTVOlcRWHSv17XAWxZDXS1T2jmYPQHaMPjFJ4jIxxAEJZRjgTJYEzNGE5cFKI7PMcTWjJSyI545foKsYtpYkq-QQtplbvh-bg8GtougGv3a4hpm06i2dxaHZ6aEKHg8fVfIV1SquN7jrXYh96vJo_veH1MQ5uF2_QhddtdLe_8xp9zGfv1YIsV88v1XRJapFlAwErLBTWi9zkVkuoiwKcNc4bYWqQuQYnS6pLqYUEUbg8swakoTKT4AXk4hrdj3s3ulX7Pl3YH1XQjVpMl-qUUSEKQak4sNRlY7fuQ4y9838Ao-qkTY3aVNKmTtoUJIaPTEzd7sv1ahu--y699A_0A_4Tbfs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems</title><source>SpringerLink Journals - AutoHoldings</source><creator>Besseghier, Mokhtar ; Djebbar, Ahmed Bouzidi ; Dayoub, Iyad</creator><creatorcontrib>Besseghier, Mokhtar ; Djebbar, Ahmed Bouzidi ; Dayoub, Iyad</creatorcontrib><description>The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical OFDM receiver that suffers from CFO has been addressed in this paper. We first derived the modified MUSIC based blind CFO estimator. Next, we propose new joint training-based and joint semi-blind CFO and channel estimation for OFDM systems. Whereas the training-based estimator only assumes knowledge of pilot tones, the semi-blind estimator assumes knowledge of the virtual subcarriers (VSCs). For both estimators we derive a maximum likelihood (ML) algorithm for block processing and LMS algorithm for adaptive processing. It is demonstrated that the CFO estimators are able to perform well with a very small number of OFDM blocks. The performance of our estimators was investigated by simulations.</description><identifier>ISSN: 0929-6212</identifier><identifier>EISSN: 1572-834X</identifier><identifier>DOI: 10.1007/s11277-014-2139-7</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Artificial Intelligence ; Communications Engineering ; Computer Communication Networks ; Computer Science ; Electronics ; Engineering ; Engineering Sciences ; Networking and Internet Architecture ; Networks ; Signal and Image processing ; Signal,Image and Speech Processing</subject><ispartof>Wireless personal communications, 2015-03, Vol.81 (2), p.473-487</ispartof><rights>Springer Science+Business Media New York 2014</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c344t-7d3d78df35b5da67c887edbefb3bc765a7e690a96a36738e54db76b06467f3753</cites><orcidid>0000-0002-2108-3234 ; 0000-0003-0910-4722</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11277-014-2139-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11277-014-2139-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://uphf.hal.science/hal-03383003$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Besseghier, Mokhtar</creatorcontrib><creatorcontrib>Djebbar, Ahmed Bouzidi</creatorcontrib><creatorcontrib>Dayoub, Iyad</creatorcontrib><title>Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems</title><title>Wireless personal communications</title><addtitle>Wireless Pers Commun</addtitle><description>The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical OFDM receiver that suffers from CFO has been addressed in this paper. We first derived the modified MUSIC based blind CFO estimator. Next, we propose new joint training-based and joint semi-blind CFO and channel estimation for OFDM systems. Whereas the training-based estimator only assumes knowledge of pilot tones, the semi-blind estimator assumes knowledge of the virtual subcarriers (VSCs). For both estimators we derive a maximum likelihood (ML) algorithm for block processing and LMS algorithm for adaptive processing. It is demonstrated that the CFO estimators are able to perform well with a very small number of OFDM blocks. The performance of our estimators was investigated by simulations.</description><subject>Artificial Intelligence</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Electronics</subject><subject>Engineering</subject><subject>Engineering Sciences</subject><subject>Networking and Internet Architecture</subject><subject>Networks</subject><subject>Signal and Image processing</subject><subject>Signal,Image and Speech Processing</subject><issn>0929-6212</issn><issn>1572-834X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEuXxAey8ZWHwI_Ekyyq0FFTURUFiZ9mxTVOlcRWHSv17XAWxZDXS1T2jmYPQHaMPjFJ4jIxxAEJZRjgTJYEzNGE5cFKI7PMcTWjJSyI545foKsYtpYkq-QQtplbvh-bg8GtougGv3a4hpm06i2dxaHZ6aEKHg8fVfIV1SquN7jrXYh96vJo_veH1MQ5uF2_QhddtdLe_8xp9zGfv1YIsV88v1XRJapFlAwErLBTWi9zkVkuoiwKcNc4bYWqQuQYnS6pLqYUEUbg8swakoTKT4AXk4hrdj3s3ulX7Pl3YH1XQjVpMl-qUUSEKQak4sNRlY7fuQ4y9838Ao-qkTY3aVNKmTtoUJIaPTEzd7sv1ahu--y699A_0A_4Tbfs</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Besseghier, Mokhtar</creator><creator>Djebbar, Ahmed Bouzidi</creator><creator>Dayoub, Iyad</creator><general>Springer US</general><general>Springer Verlag</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-2108-3234</orcidid><orcidid>https://orcid.org/0000-0003-0910-4722</orcidid></search><sort><creationdate>20150301</creationdate><title>Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems</title><author>Besseghier, Mokhtar ; Djebbar, Ahmed Bouzidi ; Dayoub, Iyad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c344t-7d3d78df35b5da67c887edbefb3bc765a7e690a96a36738e54db76b06467f3753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Artificial Intelligence</topic><topic>Communications Engineering</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Electronics</topic><topic>Engineering</topic><topic>Engineering Sciences</topic><topic>Networking and Internet Architecture</topic><topic>Networks</topic><topic>Signal and Image processing</topic><topic>Signal,Image and Speech Processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Besseghier, Mokhtar</creatorcontrib><creatorcontrib>Djebbar, Ahmed Bouzidi</creatorcontrib><creatorcontrib>Dayoub, Iyad</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Wireless personal communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Besseghier, Mokhtar</au><au>Djebbar, Ahmed Bouzidi</au><au>Dayoub, Iyad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems</atitle><jtitle>Wireless personal communications</jtitle><stitle>Wireless Pers Commun</stitle><date>2015-03-01</date><risdate>2015</risdate><volume>81</volume><issue>2</issue><spage>473</spage><epage>487</epage><pages>473-487</pages><issn>0929-6212</issn><eissn>1572-834X</eissn><abstract>The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical OFDM receiver that suffers from CFO has been addressed in this paper. We first derived the modified MUSIC based blind CFO estimator. Next, we propose new joint training-based and joint semi-blind CFO and channel estimation for OFDM systems. Whereas the training-based estimator only assumes knowledge of pilot tones, the semi-blind estimator assumes knowledge of the virtual subcarriers (VSCs). For both estimators we derive a maximum likelihood (ML) algorithm for block processing and LMS algorithm for adaptive processing. It is demonstrated that the CFO estimators are able to perform well with a very small number of OFDM blocks. The performance of our estimators was investigated by simulations.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11277-014-2139-7</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-2108-3234</orcidid><orcidid>https://orcid.org/0000-0003-0910-4722</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0929-6212 |
ispartof | Wireless personal communications, 2015-03, Vol.81 (2), p.473-487 |
issn | 0929-6212 1572-834X |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_03383003v1 |
source | SpringerLink Journals - AutoHoldings |
subjects | Artificial Intelligence Communications Engineering Computer Communication Networks Computer Science Electronics Engineering Engineering Sciences Networking and Internet Architecture Networks Signal and Image processing Signal,Image and Speech Processing |
title | Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T12%3A47%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adaptive%20Joint%20Semi-blind%20Estimation%20of%20CFO%20and%20Channel%20for%20OFDM%20Systems&rft.jtitle=Wireless%20personal%20communications&rft.au=Besseghier,%20Mokhtar&rft.date=2015-03-01&rft.volume=81&rft.issue=2&rft.spage=473&rft.epage=487&rft.pages=473-487&rft.issn=0929-6212&rft.eissn=1572-834X&rft_id=info:doi/10.1007/s11277-014-2139-7&rft_dat=%3Chal_cross%3Eoai_HAL_hal_03383003v1%3C/hal_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |