Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise
The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive nois...
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Veröffentlicht in: | IEEE transactions on signal processing 2005-01, Vol.53 (1), p.306-317 |
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description | The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. Simulation results conclude that the performance of the DS/CDMA system is improved by using the proposed receiver. |
doi_str_mv | 10.1109/TSP.2004.838949 |
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However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. Simulation results conclude that the performance of the DS/CDMA system is improved by using the proposed receiver.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2004.838949</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; CDMA ; Channel estimation ; Channels ; Code division multiple access ; Decision feedback equalizers ; Detection, estimation, filtering, equalization, prediction ; Errors ; Exact sciences and technology ; Fading ; Filtering ; Impulse response ; Information, signal and communications theory ; Kalman filters ; Land mobile radio ; linear trend channel model ; Mathematical models ; Multiaccess communication ; Multiuser detection ; Multiuser systems ; Noise ; Noise robustness ; robust Kalman filtering ; Signal and communications theory ; Signal, noise ; Studies ; Telecommunications and information theory ; Time-varying channels</subject><ispartof>IEEE transactions on signal processing, 2005-01, Vol.53 (1), p.306-317</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-c382t-bc4234441f32de0cc805a4ddbb8b0ecf6371943f6e6f56f22367835518b4d1093</citedby><cites>FETCH-LOGICAL-c382t-bc4234441f32de0cc805a4ddbb8b0ecf6371943f6e6f56f22367835518b4d1093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1369672$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,4009,27902,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1369672$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16437726$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>CHEN, Bor-Sen</creatorcontrib><creatorcontrib>TSAI, Chang-Lan</creatorcontrib><creatorcontrib>HSU, Chia-Sheng</creatorcontrib><title>Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. Simulation results conclude that the performance of the DS/CDMA system is improved by using the proposed receiver.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>CDMA</subject><subject>Channel estimation</subject><subject>Channels</subject><subject>Code division multiple access</subject><subject>Decision feedback equalizers</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Filtering</subject><subject>Impulse response</subject><subject>Information, signal and communications theory</subject><subject>Kalman filters</subject><subject>Land mobile radio</subject><subject>linear trend channel model</subject><subject>Mathematical models</subject><subject>Multiaccess communication</subject><subject>Multiuser detection</subject><subject>Multiuser systems</subject><subject>Noise</subject><subject>Noise robustness</subject><subject>robust Kalman filtering</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Studies</subject><subject>Telecommunications and information theory</subject><subject>Time-varying channels</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kc9L3EAUx4NYULeee_AyCBUv2Z1fmZkci-62hZVKVSh4GCaTN-4s2UnMJIr_fWeJIPTQ0_v1eQ--75tlXwieE4LLxf3d7ZxizOeKqZKXB9kxKTnJMZfiMOW4YHmh5J-j7CTGLcaE81IcZ4-_22qMAzK16Qb_Aujm5m65uF4t0W5sBj9G6FENA9jBtwH5MLU7M2yQM7UPT8huTAjQoFefen7XjU0EFFof4XP2yZlUnb7HWfawWt5f_cjXv77_vPq2zi1TdMgryynjnBPHaA3YWoULw-u6qlSFwTrBZFLCnADhCuEoZUIqVhREVbxOytksu5judn37PEIc9M5HC01jArRj1FRhWRLME3j5X5AISZjirGAJPf8H3bZjH5IMrURJ0lNVkaDFBNm-jbEHp7ve70z_pgnWe1N0MkXvTdGTKWnj6_tZE61pXG-C9fFjTXAmJRWJO5s4DwAfYyZKISn7C97nlAs</recordid><startdate>200501</startdate><enddate>200501</enddate><creator>CHEN, Bor-Sen</creator><creator>TSAI, Chang-Lan</creator><creator>HSU, Chia-Sheng</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>200501</creationdate><title>Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise</title><author>CHEN, Bor-Sen ; TSAI, Chang-Lan ; HSU, Chia-Sheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-bc4234441f32de0cc805a4ddbb8b0ecf6371943f6e6f56f22367835518b4d1093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>CDMA</topic><topic>Channel estimation</topic><topic>Channels</topic><topic>Code division multiple access</topic><topic>Decision feedback equalizers</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Errors</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Filtering</topic><topic>Impulse response</topic><topic>Information, signal and communications theory</topic><topic>Kalman filters</topic><topic>Land mobile radio</topic><topic>linear trend channel model</topic><topic>Mathematical models</topic><topic>Multiaccess communication</topic><topic>Multiuser detection</topic><topic>Multiuser systems</topic><topic>Noise</topic><topic>Noise robustness</topic><topic>robust Kalman filtering</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Studies</topic><topic>Telecommunications and information theory</topic><topic>Time-varying channels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHEN, Bor-Sen</creatorcontrib><creatorcontrib>TSAI, Chang-Lan</creatorcontrib><creatorcontrib>HSU, Chia-Sheng</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN, Bor-Sen</au><au>TSAI, Chang-Lan</au><au>HSU, Chia-Sheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2005-01</date><risdate>2005</risdate><volume>53</volume><issue>1</issue><spage>306</spage><epage>317</epage><pages>306-317</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. Simulation results conclude that the performance of the DS/CDMA system is improved by using the proposed receiver.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2004.838949</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Applied sciences CDMA Channel estimation Channels Code division multiple access Decision feedback equalizers Detection, estimation, filtering, equalization, prediction Errors Exact sciences and technology Fading Filtering Impulse response Information, signal and communications theory Kalman filters Land mobile radio linear trend channel model Mathematical models Multiaccess communication Multiuser detection Multiuser systems Noise Noise robustness robust Kalman filtering Signal and communications theory Signal, noise Studies Telecommunications and information theory Time-varying channels |
title | Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise |
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