Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels
In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, t...
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| Veröffentlicht in: | IEICE Transactions on Communications 2009/03/01, Vol.E92.B(3), pp.1031-1034 |
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| container_end_page | 1034 |
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| container_issue | 3 |
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| container_title | IEICE Transactions on Communications |
| container_volume | E92.B |
| creator | LEE, Namjeong LEE, Hoojin KANG, Joonhyuk GIL, Gye-Tae |
| description | In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. It is shown through computer simulation that the proposed technique requires lower complexity than the conventional algorithm to obtain the same performance, and that it exhibits better performance than the conventional counterpart when the same complexity is assumed. |
| doi_str_mv | 10.1587/transcom.E92.B.1031 |
| format | Article |
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Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. It is shown through computer simulation that the proposed technique requires lower complexity than the conventional algorithm to obtain the same performance, and that it exhibits better performance than the conventional counterpart when the same complexity is assumed.</description><identifier>ISSN: 0916-8516</identifier><identifier>EISSN: 1745-1345</identifier><identifier>DOI: 10.1587/transcom.E92.B.1031</identifier><language>eng</language><publisher>Tokyo: The Institute of Electronics, Information and Communication Engineers</publisher><subject>Applied sciences ; Band structure of solids ; Blocking ; Cancellation ; Channels ; Complexity ; Detection, estimation, filtering, equalization, prediction ; Equalization ; Equalizers ; Exact sciences and technology ; Factorization ; Information, signal and communications theory ; intercarrier interference ; Miscellaneous ; Multiplexing ; OFDM ; Orthogonal Frequency Division Multiplexing ; Signal and communications theory ; Signal processing ; Signal, noise ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; time varying channel ; Transmission and modulation (techniques and equipments)</subject><ispartof>IEICE Transactions on Communications, 2009/03/01, Vol.E92.B(3), pp.1031-1034</ispartof><rights>2009 The Institute of Electronics, Information and Communication Engineers</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c395t-9f88318e135243d9ac82f436aa2686f5274fd96170d37aee8fff6b74c5d6dbbf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4009,27902,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22606567$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LEE, Namjeong</creatorcontrib><creatorcontrib>LEE, Hoojin</creatorcontrib><creatorcontrib>KANG, Joonhyuk</creatorcontrib><creatorcontrib>GIL, Gye-Tae</creatorcontrib><title>Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels</title><title>IEICE Transactions on Communications</title><addtitle>IEICE Trans. Commun.</addtitle><description>In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. 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Commun.</addtitle><date>2009</date><risdate>2009</risdate><volume>E92.B</volume><issue>3</issue><spage>1031</spage><epage>1034</epage><pages>1031-1034</pages><issn>0916-8516</issn><eissn>1745-1345</eissn><abstract>In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. 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| ispartof | IEICE Transactions on Communications, 2009/03/01, Vol.E92.B(3), pp.1031-1034 |
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| language | eng |
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| subjects | Applied sciences Band structure of solids Blocking Cancellation Channels Complexity Detection, estimation, filtering, equalization, prediction Equalization Equalizers Exact sciences and technology Factorization Information, signal and communications theory intercarrier interference Miscellaneous Multiplexing OFDM Orthogonal Frequency Division Multiplexing Signal and communications theory Signal processing Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory time varying channel Transmission and modulation (techniques and equipments) |
| title | Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels |
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