Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices
A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the su...
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Veröffentlicht in: | IEEE signal processing letters 2009-03, Vol.16 (3), p.164-167 |
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creator | Zeng, Wen-Jun Li, Xi-Lin Zhang, Xian-Da |
description | A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach. |
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Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2008.2010816</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Colored noise ; Computer simulation ; Correlated noise ; Correlation ; Cost function ; Covariance matrix ; Degradation ; Direction finding ; Direction of arrival estimation ; direction-of-arrival ; high-order cumulants ; joint diagonalization ; Mathematical analysis ; Matrices ; Matrix methods ; Multiple signal classification ; Noise ; Parametric statistics ; Sensor arrays ; Signal to noise ratio ; White noise</subject><ispartof>IEEE signal processing letters, 2009-03, Vol.16 (3), p.164-167</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-ae00da57f54825aafb44409a777c169a8491a0345fd652fe4709433c0d4f06c93</citedby><cites>FETCH-LOGICAL-c385t-ae00da57f54825aafb44409a777c169a8491a0345fd652fe4709433c0d4f06c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4781945$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4781945$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zeng, Wen-Jun</creatorcontrib><creatorcontrib>Li, Xi-Lin</creatorcontrib><creatorcontrib>Zhang, Xian-Da</creatorcontrib><title>Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach.</description><subject>Algorithms</subject><subject>Colored noise</subject><subject>Computer simulation</subject><subject>Correlated noise</subject><subject>Correlation</subject><subject>Cost function</subject><subject>Covariance matrix</subject><subject>Degradation</subject><subject>Direction finding</subject><subject>Direction of arrival estimation</subject><subject>direction-of-arrival</subject><subject>high-order cumulants</subject><subject>joint diagonalization</subject><subject>Mathematical analysis</subject><subject>Matrices</subject><subject>Matrix methods</subject><subject>Multiple signal classification</subject><subject>Noise</subject><subject>Parametric statistics</subject><subject>Sensor arrays</subject><subject>Signal to noise ratio</subject><subject>White noise</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkUFvFDEMhUcIJErLHYlLxIGeprUnySQ5lm0LVFsVqXAehYxDU81uliRTBL-ejLbiwAEutmV9z7Lea5pXCCeIYE7Xt59OOgBdC4LG_klzgFLqtuM9Pq0zKGiNAf28eZHzPVQStTxofpyHRK6EuG2jb89SCg92Yhe5hI1dtuydzTSyOpQ7YlcxbAs7D_Zb3Nop_NojtyXNrsyJWPTsep5K2E3ELuOcyl17k0ZKbDVv5slW7bUtKTjKR80zb6dMLx_7YfPl8uLz6kO7vnn_cXW2bh3XsrSWAEYrlZdCd9Ja_1UIAcYqpRz2xmph0AIX0o-97DwJBUZw7mAUHnpn-GFzvL-7S_H7TLkMm5AdTfUZinMeDPC-QyPxv6RWErjsO6jk23-SXIgOhVnAN3-B99WU6ly91mPFUC0fwh5yKeacyA-7VM1PPweEYYl2qNEOS7TDY7RV8novCUT0BxdKoxGS_wZReZ8u</recordid><startdate>20090301</startdate><enddate>20090301</enddate><creator>Zeng, Wen-Jun</creator><creator>Li, Xi-Lin</creator><creator>Zhang, Xian-Da</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2008.2010816</doi><tpages>4</tpages></addata></record> |
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subjects | Algorithms Colored noise Computer simulation Correlated noise Correlation Cost function Covariance matrix Degradation Direction finding Direction of arrival estimation direction-of-arrival high-order cumulants joint diagonalization Mathematical analysis Matrices Matrix methods Multiple signal classification Noise Parametric statistics Sensor arrays Signal to noise ratio White noise |
title | Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices |
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