Detection and parameter estimation of multiple nonGaussian sources via higher order statistics
Simultaneous detection of signal arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the...
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Veröffentlicht in: | IEEE transactions on signal processing 1994-05, Vol.42 (5), p.1145-1155 |
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description | Simultaneous detection of signal arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise.< > |
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Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise.< ></description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/78.295204</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Additive noise ; Applied sciences ; Array signal processing ; Colored noise ; Direction of arrival estimation ; Exact sciences and technology ; Gaussian noise ; Higher order statistics ; Parameter estimation ; Radiolocalization and radionavigation ; Sensor arrays ; Signal processing ; Signal processing algorithms ; Telecommunications ; Telecommunications and information theory</subject><ispartof>IEEE transactions on signal processing, 1994-05, Vol.42 (5), p.1145-1155</ispartof><rights>1994 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c221t-f5f38944c75411dbcf5510d613c6d534cfa3c3e6fd3c3d9d42ab5b36f0fc43133</citedby><cites>FETCH-LOGICAL-c221t-f5f38944c75411dbcf5510d613c6d534cfa3c3e6fd3c3d9d42ab5b36f0fc43133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/295204$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27907,27908,54741</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/295204$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=4184606$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shamsunder, S.</creatorcontrib><creatorcontrib>Giannakis, G.B.</creatorcontrib><title>Detection and parameter estimation of multiple nonGaussian sources via higher order statistics</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>Simultaneous detection of signal arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise.< ></description><subject>Additive noise</subject><subject>Applied sciences</subject><subject>Array signal processing</subject><subject>Colored noise</subject><subject>Direction of arrival estimation</subject><subject>Exact sciences and technology</subject><subject>Gaussian noise</subject><subject>Higher order statistics</subject><subject>Parameter estimation</subject><subject>Radiolocalization and radionavigation</subject><subject>Sensor arrays</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNo9kMtLw0AQxhdRsFYPXj3tQQQPqfvM4yhVq1DwouDJsN2HXUmycScR_O9dTellZpj5fR8zg9A5JQtKSXVTlAtWSUbEAZrRStCMiCI_TDWRPJNl8XaMTgA-CaFCVPkMvd_ZwerBhw6rzuBeRdWmTsQWBt-q_0FwuB2bwfeNxV3oVmoE8KrDEMaoLeBvr_DWf2yTKkSTIgxJmPQaTtGRUw3Ys12eo9eH-5flY7Z-Xj0tb9eZZowOmZOOl5UQupCCUrPRTkpKTE65zo3kQjvFNbe5MymZygimNnLDc0ecFpxyPkdXk28fw9eYdq9bD9o2jepsGKFmJRMFY0UCrydQxwAQrav7mO6MPzUl9d8H66Kspw8m9nJnqkCrxkXVaQ97gaClyEmesIsJ89ba_XTn8QsoKnnz</recordid><startdate>19940501</startdate><enddate>19940501</enddate><creator>Shamsunder, S.</creator><creator>Giannakis, G.B.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19940501</creationdate><title>Detection and parameter estimation of multiple nonGaussian sources via higher order statistics</title><author>Shamsunder, S. ; Giannakis, G.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c221t-f5f38944c75411dbcf5510d613c6d534cfa3c3e6fd3c3d9d42ab5b36f0fc43133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Additive noise</topic><topic>Applied sciences</topic><topic>Array signal processing</topic><topic>Colored noise</topic><topic>Direction of arrival estimation</topic><topic>Exact sciences and technology</topic><topic>Gaussian noise</topic><topic>Higher order statistics</topic><topic>Parameter estimation</topic><topic>Radiolocalization and radionavigation</topic><topic>Sensor arrays</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shamsunder, S.</creatorcontrib><creatorcontrib>Giannakis, G.B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems 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><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shamsunder, S.</au><au>Giannakis, G.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and parameter estimation of multiple nonGaussian sources via higher order statistics</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>1994-05-01</date><risdate>1994</risdate><volume>42</volume><issue>5</issue><spage>1145</spage><epage>1155</epage><pages>1145-1155</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>Simultaneous detection of signal arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/78.295204</doi><tpages>11</tpages></addata></record> |
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subjects | Additive noise Applied sciences Array signal processing Colored noise Direction of arrival estimation Exact sciences and technology Gaussian noise Higher order statistics Parameter estimation Radiolocalization and radionavigation Sensor arrays Signal processing Signal processing algorithms Telecommunications Telecommunications and information theory |
title | Detection and parameter estimation of multiple nonGaussian sources via higher order statistics |
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