Split soft-decision equalization for wireless channels with large delay spread
A novel split soft-decision equalizer (SSE) with near-optimum performance is proposed for wireless multipath channels with large delay spread. The concept of SSE is significantly different from the traditional notions of the Viterbi algorithm and decision-feedback equalizer. Instead of dealing with...
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| Veröffentlicht in: | IEEE transactions on communications 2005-02, Vol.53 (2), p.269-277 |
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| container_title | IEEE transactions on communications |
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| creator | Yu, J.X. Yuan Li Zhi-Quan Luo Yoshida, S. |
| description | A novel split soft-decision equalizer (SSE) with near-optimum performance is proposed for wireless multipath channels with large delay spread. The concept of SSE is significantly different from the traditional notions of the Viterbi algorithm and decision-feedback equalizer. Instead of dealing with received sequence as a combined sequence, it splits the received sequence into its constituent paths. Using an iterative soft-decision algorithm, reliability of the soft decisions on each decomposed element is improved iteratively. The major advantage of SSE is the independence of computation complexity on channel time dispersion. Joint design of SSE with a soft-decision decoder is also considered in this paper. Performance analysis and simulation results show that performance of the proposed algorithm comes very close to that of the logarithmic maximum a posteriori decoder. |
| doi_str_mv | 10.1109/TCOMM.2004.842000 |
| format | Article |
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The concept of SSE is significantly different from the traditional notions of the Viterbi algorithm and decision-feedback equalizer. Instead of dealing with received sequence as a combined sequence, it splits the received sequence into its constituent paths. Using an iterative soft-decision algorithm, reliability of the soft decisions on each decomposed element is improved iteratively. The major advantage of SSE is the independence of computation complexity on channel time dispersion. Joint design of SSE with a soft-decision decoder is also considered in this paper. Performance analysis and simulation results show that performance of the proposed algorithm comes very close to that of the logarithmic maximum a posteriori decoder.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2004.842000</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Channels ; Coding, codes ; Decision feedback equalizers ; Decoders ; Delay ; Detection, estimation, filtering, equalization, prediction ; Dispersions ; Dispersive channel ; Equalization ; Equalizers ; Exact sciences and technology ; Information, signal and communications theory ; Intersymbol interference ; Iterative algorithms ; Iterative decoding ; Maximum likelihood decoding ; Maximum likelihood estimation ; Multipath channels ; Performance analysis ; Signal and communications theory ; Signal, noise ; soft decision ; Spreads ; Telecommunications and information theory ; turbo principle ; Viterbi algorithm</subject><ispartof>IEEE transactions on communications, 2005-02, Vol.53 (2), p.269-277</ispartof><rights>2005 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-e994cdb727f99ba1dc7c07b52a3bbd303877831e2685903ce86ca23d2b0c9c2a3</citedby><cites>FETCH-LOGICAL-c385t-e994cdb727f99ba1dc7c07b52a3bbd303877831e2685903ce86ca23d2b0c9c2a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1402649$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1402649$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16645926$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, J.X.</creatorcontrib><creatorcontrib>Yuan Li</creatorcontrib><creatorcontrib>Zhi-Quan Luo</creatorcontrib><creatorcontrib>Yoshida, S.</creatorcontrib><title>Split soft-decision equalization for wireless channels with large delay spread</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>A novel split soft-decision equalizer (SSE) with near-optimum performance is proposed for wireless multipath channels with large delay spread. The concept of SSE is significantly different from the traditional notions of the Viterbi algorithm and decision-feedback equalizer. Instead of dealing with received sequence as a combined sequence, it splits the received sequence into its constituent paths. Using an iterative soft-decision algorithm, reliability of the soft decisions on each decomposed element is improved iteratively. The major advantage of SSE is the independence of computation complexity on channel time dispersion. Joint design of SSE with a soft-decision decoder is also considered in this paper. Performance analysis and simulation results show that performance of the proposed algorithm comes very close to that of the logarithmic maximum a posteriori decoder.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Channels</subject><subject>Coding, codes</subject><subject>Decision feedback equalizers</subject><subject>Decoders</subject><subject>Delay</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Dispersions</subject><subject>Dispersive channel</subject><subject>Equalization</subject><subject>Equalizers</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Intersymbol interference</subject><subject>Iterative algorithms</subject><subject>Iterative decoding</subject><subject>Maximum likelihood decoding</subject><subject>Maximum likelihood estimation</subject><subject>Multipath channels</subject><subject>Performance analysis</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>soft decision</subject><subject>Spreads</subject><subject>Telecommunications and information theory</subject><subject>turbo principle</subject><subject>Viterbi algorithm</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1PGzEQhq2qSKTQH4B6WVVqOW0Yf9vHKipQKcChcLa83tlmkdlN7I0q-PU4JBJSDz2NZuaZVzPzEnJGYU4p2Iv7xd3NzZwBiLkRJcAHMqNSmhqM1B_JDMBCrbQ2x-RTzo8FEMD5jNz-Xsd-qvLYTXWLoc_9OFS42frYv_hpl3Rjqv72CSPmXIWVHwaMuVSmVRV9-oNVi9E_V3md0Len5KjzMePnQzwhD5c_7xfX9fLu6tfix7IO3MipRmtFaBvNdGdt42kbdADdSOZ507QcuCmbcopMGWmBBzQqeMZb1kCwoVAn5Hyvu07jZot5ck99DhijH3DcZmesYkCFNIX8_l-SmfIZyXQBv_4DPo7bNJQrnFFa8CIIBaJ7KKQx54SdW6f-yadnR8HtjHBvRridEW5vRJn5dhD2OfjYJT-UP78PKiWkZapwX_Zcj4jvbQFMCctfASQ3kQk</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>Yu, J.X.</creator><creator>Yuan Li</creator><creator>Zhi-Quan Luo</creator><creator>Yoshida, S.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The concept of SSE is significantly different from the traditional notions of the Viterbi algorithm and decision-feedback equalizer. Instead of dealing with received sequence as a combined sequence, it splits the received sequence into its constituent paths. Using an iterative soft-decision algorithm, reliability of the soft decisions on each decomposed element is improved iteratively. The major advantage of SSE is the independence of computation complexity on channel time dispersion. Joint design of SSE with a soft-decision decoder is also considered in this paper. Performance analysis and simulation results show that performance of the proposed algorithm comes very close to that of the logarithmic maximum a posteriori decoder.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2004.842000</doi><tpages>9</tpages></addata></record> |
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| ispartof | IEEE transactions on communications, 2005-02, Vol.53 (2), p.269-277 |
| issn | 0090-6778 1558-0857 |
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| subjects | Algorithms Applied sciences Channels Coding, codes Decision feedback equalizers Decoders Delay Detection, estimation, filtering, equalization, prediction Dispersions Dispersive channel Equalization Equalizers Exact sciences and technology Information, signal and communications theory Intersymbol interference Iterative algorithms Iterative decoding Maximum likelihood decoding Maximum likelihood estimation Multipath channels Performance analysis Signal and communications theory Signal, noise soft decision Spreads Telecommunications and information theory turbo principle Viterbi algorithm |
| title | Split soft-decision equalization for wireless channels with large delay spread |
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