Real-time passive source localization: a practical linear-correction least-squares approach
A linear-correction least-squares estimation procedure is proposed for the source localization problem under an additive measurement error model. The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an efficient source location estimator wi...
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Veröffentlicht in: | IEEE transactions on speech and audio processing 2001-11, Vol.9 (8), p.943-956 |
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container_title | IEEE transactions on speech and audio processing |
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creator | Yiteng Huang Benesty, J. Elko, G.W. Mersereati, R.M. |
description | A linear-correction least-squares estimation procedure is proposed for the source localization problem under an additive measurement error model. The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an efficient source location estimator without assuming a priori knowledge of noise distribution. Alternative existing estimators, including likelihood-based, spherical intersection, spherical interpolation, and quadratic-correction least-squares estimators, are reviewed and comparisons of their complexity, estimation consistency and efficiency against the Cramer-Rao lower bound are made. Numerical studies demonstrate that the proposed estimator performs better under many practical situations. |
doi_str_mv | 10.1109/89.966097 |
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The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an efficient source location estimator without assuming a priori knowledge of noise distribution. Alternative existing estimators, including likelihood-based, spherical intersection, spherical interpolation, and quadratic-correction least-squares estimators, are reviewed and comparisons of their complexity, estimation consistency and efficiency against the Cramer-Rao lower bound are made. 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(IEEE) 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-1a15378388de08c594f8cf44fa3e0a584de42ce0a21636535be0564393f467e13</citedby><cites>FETCH-LOGICAL-c432t-1a15378388de08c594f8cf44fa3e0a584de42ce0a21636535be0564393f467e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/966097$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/966097$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14126360$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yiteng Huang</creatorcontrib><creatorcontrib>Benesty, J.</creatorcontrib><creatorcontrib>Elko, G.W.</creatorcontrib><creatorcontrib>Mersereati, R.M.</creatorcontrib><title>Real-time passive source localization: a practical linear-correction least-squares approach</title><title>IEEE transactions on speech and audio processing</title><addtitle>T-SAP</addtitle><description>A linear-correction least-squares estimation procedure is proposed for the source localization problem under an additive measurement error model. The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an efficient source location estimator without assuming a priori knowledge of noise distribution. Alternative existing estimators, including likelihood-based, spherical intersection, spherical interpolation, and quadratic-correction least-squares estimators, are reviewed and comparisons of their complexity, estimation consistency and efficiency against the Cramer-Rao lower bound are made. Numerical studies demonstrate that the proposed estimator performs better under many practical situations.</description><subject>Acoustic sensors</subject><subject>Acoustic signal processing</subject><subject>Acoustics</subject><subject>Applied sciences</subject><subject>Cameras</subject><subject>Complexity</subject><subject>Consistency</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Estimators</subject><subject>Exact sciences and technology</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Information, signal and communications theory</subject><subject>Iterative algorithms</subject><subject>Iterative methods</subject><subject>Least squares method</subject><subject>Linear approximation</subject><subject>Localization</subject><subject>Mathematical models</subject><subject>Maximum likelihood estimation</subject><subject>Measurement errors</subject><subject>Microphone arrays</subject><subject>Physics</subject><subject>Position (location)</subject><subject>Real time</subject><subject>Real time systems</subject><subject>Sensor arrays</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><issn>1063-6676</issn><issn>2329-9290</issn><issn>1558-2353</issn><issn>2329-9304</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1LxDAQhosouK4evHoKgoqHrknz0cSbLH7BgiB68lDG7BSzZNuatIL-erPsouDB0wzzPvMOM5Nlh4xOGKPmQpuJUYqacisbMSl1XnDJt1NOFc-VKtVuthfjglKqWSlG2csjgs97t0TSQYzuA0lsh2CR-NaCd1_Qu7a5JEC6ALZ3qUa8axBCbtsQ0K5k4hFin8f3AQJGAl0XWrBv-9lODT7iwSaOs-eb66fpXT57uL2fXs1yK3jR5wyY5KXmWs-RaiuNqLWthaiBIwWpxRxFYVNaMMWV5PIVqVSCG14LVSLj4-xs7ZvGvg8Y-2rpokXvocF2iJVhxnAmS57I03_JQktVKLoCj_-Ai3SVJm1RaS0U06U2CTpfQza0MQasqy64JYTPitFq9Y1Km2r9jcSebAwhphvWARrr4m-DYEVajibuaM05RPyRNybfOBuQ3w</recordid><startdate>20011101</startdate><enddate>20011101</enddate><creator>Yiteng Huang</creator><creator>Benesty, J.</creator><creator>Elko, G.W.</creator><creator>Mersereati, R.M.</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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subjects | Acoustic sensors Acoustic signal processing Acoustics Applied sciences Cameras Complexity Consistency Detection, estimation, filtering, equalization, prediction Estimators Exact sciences and technology Fundamental areas of phenomenology (including applications) Information, signal and communications theory Iterative algorithms Iterative methods Least squares method Linear approximation Localization Mathematical models Maximum likelihood estimation Measurement errors Microphone arrays Physics Position (location) Real time Real time systems Sensor arrays Signal and communications theory Signal, noise Telecommunications and information theory |
title | Real-time passive source localization: a practical linear-correction least-squares approach |
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