Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements
This paper presents a systematic comparison of several prominent beamforming algorithms developed for aeroacoustic measurements. The most widely used delay-and-sum (DAS) beamformer is known to suffer from high sidelobe level and low resolution problems. Therefore, more advanced methods, in particula...
Gespeichert in:
Veröffentlicht in: | International journal of aeroacoustics 2010-07, Vol.9 (6), p.733-761 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 761 |
---|---|
container_issue | 6 |
container_start_page | 733 |
container_title | International journal of aeroacoustics |
container_volume | 9 |
creator | Yardibi, Tarik Zawodny, Nikolas S Bahr, Chris Liu, Fei Cattafesta, Louis N Li, Jian |
description | This paper presents a systematic comparison of several prominent beamforming algorithms developed for aeroacoustic measurements. The most widely used delay-and-sum (DAS) beamformer is known to suffer from high sidelobe level and low resolution problems. Therefore, more advanced methods, in particular the deconvolution approach for the mapping of acoustic sources (DAMAS), sparsity constrained DAMAS (SC-DAMAS), covariance matrix fitting (CMF) and CLEAN based on spatial source coherence (CLEAN-SC), have been considered to achieve improved resolution and more accurate signal power estimates. The performances of the aforementioned algorithms are evaluated via experiments involving a 63-element logarithmic spiral microphone array in the presence of a single source, two incoherent sources with similar strengths and with different strengths, and two coherent sources. It is observed that DAMAS, SC-DAMAS and CMF provide the most reliable source location estimates, even at relatively low frequencies. Furthermore, the integrated levels obtained with the array processing algorithms are shown to agree with what a single reference microphone placed at the center of the array measures when the array is appropriately calibrated. It is also shown that, as expected, the aforementioned algorithms are unsuccessful in distinguishing coherent acoustic sources unless the frequency is relatively high. DAS and CLEAN-SC are shown to be around 2 to 90 times faster than the other three algorithms. |
doi_str_mv | 10.1260/1475-472X.9.6.733 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_919953479</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1260_1475-472X.9.6.733</sage_id><sourcerecordid>919953479</sourcerecordid><originalsourceid>FETCH-LOGICAL-c279t-1f38d8857b97f82245eb5cf5736ef570db5491473b4d4342a66278f71234e7e83</originalsourceid><addsrcrecordid>eNp9kD1PwzAURS0EEqXwA9iywZLgz9geq4ovqRUIFYnNctyXNlUTBzsd-u9xVMTI4jf43Kf7DkK3BBeElviBcClyLulXoYuykIydoQnFXOUcY3aOJn__l-gqxh3GlGCJJ-hj7tvehib6LvN1tmxc8P3Wd5DNQrDH7D14BzE23SZbgdt2zfcBYlb7kM0geOv8IQ6Ny5Zg4yFAC90Qr9FFbfcRbn7nFH0-Pa7mL_ni7fl1Plvkjko95KRmaq2UkJWWtaKUC6iEq4VkJaQXryvBdarNKr7mjFNbllSqWhLKOEhQbIruTnv74MdWg2mb6GC_tx2kWkYTrQXjUify_l-SUMVKRYggCSUnNHmIMUBt-tC0NhwNwWY0bUaTZjRptClNMp0yxSkT7QbMzh9Cl-7-J_AD9Fd-3w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1283681151</pqid></control><display><type>article</type><title>Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements</title><source>Access via SAGE</source><creator>Yardibi, Tarik ; Zawodny, Nikolas S ; Bahr, Chris ; Liu, Fei ; Cattafesta, Louis N ; Li, Jian</creator><creatorcontrib>Yardibi, Tarik ; Zawodny, Nikolas S ; Bahr, Chris ; Liu, Fei ; Cattafesta, Louis N ; Li, Jian</creatorcontrib><description>This paper presents a systematic comparison of several prominent beamforming algorithms developed for aeroacoustic measurements. The most widely used delay-and-sum (DAS) beamformer is known to suffer from high sidelobe level and low resolution problems. Therefore, more advanced methods, in particular the deconvolution approach for the mapping of acoustic sources (DAMAS), sparsity constrained DAMAS (SC-DAMAS), covariance matrix fitting (CMF) and CLEAN based on spatial source coherence (CLEAN-SC), have been considered to achieve improved resolution and more accurate signal power estimates. The performances of the aforementioned algorithms are evaluated via experiments involving a 63-element logarithmic spiral microphone array in the presence of a single source, two incoherent sources with similar strengths and with different strengths, and two coherent sources. It is observed that DAMAS, SC-DAMAS and CMF provide the most reliable source location estimates, even at relatively low frequencies. Furthermore, the integrated levels obtained with the array processing algorithms are shown to agree with what a single reference microphone placed at the center of the array measures when the array is appropriately calibrated. It is also shown that, as expected, the aforementioned algorithms are unsuccessful in distinguishing coherent acoustic sources unless the frequency is relatively high. DAS and CLEAN-SC are shown to be around 2 to 90 times faster than the other three algorithms.</description><identifier>ISSN: 1475-472X</identifier><identifier>EISSN: 2048-4003</identifier><identifier>DOI: 10.1260/1475-472X.9.6.733</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Acoustic sources ; Aeroacoustics ; Algorithms ; Arrays ; Cleaning ; Coherence ; Estimates ; Microphones</subject><ispartof>International journal of aeroacoustics, 2010-07, Vol.9 (6), p.733-761</ispartof><rights>2010 SAGE Publications</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c279t-1f38d8857b97f82245eb5cf5736ef570db5491473b4d4342a66278f71234e7e83</citedby><cites>FETCH-LOGICAL-c279t-1f38d8857b97f82245eb5cf5736ef570db5491473b4d4342a66278f71234e7e83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1260/1475-472X.9.6.733$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1260/1475-472X.9.6.733$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids></links><search><creatorcontrib>Yardibi, Tarik</creatorcontrib><creatorcontrib>Zawodny, Nikolas S</creatorcontrib><creatorcontrib>Bahr, Chris</creatorcontrib><creatorcontrib>Liu, Fei</creatorcontrib><creatorcontrib>Cattafesta, Louis N</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><title>Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements</title><title>International journal of aeroacoustics</title><description>This paper presents a systematic comparison of several prominent beamforming algorithms developed for aeroacoustic measurements. The most widely used delay-and-sum (DAS) beamformer is known to suffer from high sidelobe level and low resolution problems. Therefore, more advanced methods, in particular the deconvolution approach for the mapping of acoustic sources (DAMAS), sparsity constrained DAMAS (SC-DAMAS), covariance matrix fitting (CMF) and CLEAN based on spatial source coherence (CLEAN-SC), have been considered to achieve improved resolution and more accurate signal power estimates. The performances of the aforementioned algorithms are evaluated via experiments involving a 63-element logarithmic spiral microphone array in the presence of a single source, two incoherent sources with similar strengths and with different strengths, and two coherent sources. It is observed that DAMAS, SC-DAMAS and CMF provide the most reliable source location estimates, even at relatively low frequencies. Furthermore, the integrated levels obtained with the array processing algorithms are shown to agree with what a single reference microphone placed at the center of the array measures when the array is appropriately calibrated. It is also shown that, as expected, the aforementioned algorithms are unsuccessful in distinguishing coherent acoustic sources unless the frequency is relatively high. DAS and CLEAN-SC are shown to be around 2 to 90 times faster than the other three algorithms.</description><subject>Acoustic sources</subject><subject>Aeroacoustics</subject><subject>Algorithms</subject><subject>Arrays</subject><subject>Cleaning</subject><subject>Coherence</subject><subject>Estimates</subject><subject>Microphones</subject><issn>1475-472X</issn><issn>2048-4003</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAURS0EEqXwA9iywZLgz9geq4ovqRUIFYnNctyXNlUTBzsd-u9xVMTI4jf43Kf7DkK3BBeElviBcClyLulXoYuykIydoQnFXOUcY3aOJn__l-gqxh3GlGCJJ-hj7tvehib6LvN1tmxc8P3Wd5DNQrDH7D14BzE23SZbgdt2zfcBYlb7kM0geOv8IQ6Ny5Zg4yFAC90Qr9FFbfcRbn7nFH0-Pa7mL_ni7fl1Plvkjko95KRmaq2UkJWWtaKUC6iEq4VkJaQXryvBdarNKr7mjFNbllSqWhLKOEhQbIruTnv74MdWg2mb6GC_tx2kWkYTrQXjUify_l-SUMVKRYggCSUnNHmIMUBt-tC0NhwNwWY0bUaTZjRptClNMp0yxSkT7QbMzh9Cl-7-J_AD9Fd-3w</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Yardibi, Tarik</creator><creator>Zawodny, Nikolas S</creator><creator>Bahr, Chris</creator><creator>Liu, Fei</creator><creator>Cattafesta, Louis N</creator><creator>Li, Jian</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201007</creationdate><title>Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements</title><author>Yardibi, Tarik ; Zawodny, Nikolas S ; Bahr, Chris ; Liu, Fei ; Cattafesta, Louis N ; Li, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c279t-1f38d8857b97f82245eb5cf5736ef570db5491473b4d4342a66278f71234e7e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acoustic sources</topic><topic>Aeroacoustics</topic><topic>Algorithms</topic><topic>Arrays</topic><topic>Cleaning</topic><topic>Coherence</topic><topic>Estimates</topic><topic>Microphones</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yardibi, Tarik</creatorcontrib><creatorcontrib>Zawodny, Nikolas S</creatorcontrib><creatorcontrib>Bahr, Chris</creatorcontrib><creatorcontrib>Liu, Fei</creatorcontrib><creatorcontrib>Cattafesta, Louis N</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of aeroacoustics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yardibi, Tarik</au><au>Zawodny, Nikolas S</au><au>Bahr, Chris</au><au>Liu, Fei</au><au>Cattafesta, Louis N</au><au>Li, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements</atitle><jtitle>International journal of aeroacoustics</jtitle><date>2010-07</date><risdate>2010</risdate><volume>9</volume><issue>6</issue><spage>733</spage><epage>761</epage><pages>733-761</pages><issn>1475-472X</issn><eissn>2048-4003</eissn><abstract>This paper presents a systematic comparison of several prominent beamforming algorithms developed for aeroacoustic measurements. The most widely used delay-and-sum (DAS) beamformer is known to suffer from high sidelobe level and low resolution problems. Therefore, more advanced methods, in particular the deconvolution approach for the mapping of acoustic sources (DAMAS), sparsity constrained DAMAS (SC-DAMAS), covariance matrix fitting (CMF) and CLEAN based on spatial source coherence (CLEAN-SC), have been considered to achieve improved resolution and more accurate signal power estimates. The performances of the aforementioned algorithms are evaluated via experiments involving a 63-element logarithmic spiral microphone array in the presence of a single source, two incoherent sources with similar strengths and with different strengths, and two coherent sources. It is observed that DAMAS, SC-DAMAS and CMF provide the most reliable source location estimates, even at relatively low frequencies. Furthermore, the integrated levels obtained with the array processing algorithms are shown to agree with what a single reference microphone placed at the center of the array measures when the array is appropriately calibrated. It is also shown that, as expected, the aforementioned algorithms are unsuccessful in distinguishing coherent acoustic sources unless the frequency is relatively high. DAS and CLEAN-SC are shown to be around 2 to 90 times faster than the other three algorithms.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1260/1475-472X.9.6.733</doi><tpages>29</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1475-472X |
ispartof | International journal of aeroacoustics, 2010-07, Vol.9 (6), p.733-761 |
issn | 1475-472X 2048-4003 |
language | eng |
recordid | cdi_proquest_miscellaneous_919953479 |
source | Access via SAGE |
subjects | Acoustic sources Aeroacoustics Algorithms Arrays Cleaning Coherence Estimates Microphones |
title | Comparison of Microphone Array Processing Techniques for Aeroacoustic Measurements |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T17%3A35%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparison%20of%20Microphone%20Array%20Processing%20Techniques%20for%20Aeroacoustic%20Measurements&rft.jtitle=International%20journal%20of%20aeroacoustics&rft.au=Yardibi,%20Tarik&rft.date=2010-07&rft.volume=9&rft.issue=6&rft.spage=733&rft.epage=761&rft.pages=733-761&rft.issn=1475-472X&rft.eissn=2048-4003&rft_id=info:doi/10.1260/1475-472X.9.6.733&rft_dat=%3Cproquest_cross%3E919953479%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1283681151&rft_id=info:pmid/&rft_sage_id=10.1260_1475-472X.9.6.733&rfr_iscdi=true |