{"id":"https://openalex.org/W2891139554","doi":"https://doi.org/10.1109/icassp.2018.8462035","title":"Blind Calibration for Acoustic Vector Sensor Arrays","display_name":"Blind Calibration for Acoustic Vector Sensor Arrays","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891139554","doi":"https://doi.org/10.1109/icassp.2018.8462035","mag":"2891139554"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027907214","display_name":"Krishnaprasad Nambur Ramamohan","orcid":"https://orcid.org/0000-0003-0913-0891"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Krishnaprasad Nambur Ramamohan","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015585417","display_name":"Sundeep Prabhakar Chepuri","orcid":"https://orcid.org/0000-0002-0429-6588"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sundeep Prabhakar Chepuri","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072392208","display_name":"Daniel Fern\u00e1ndez Comesa\u00f1a","orcid":"https://orcid.org/0000-0003-3286-6637"},"institutions":[{"id":"https://openalex.org/I4210161516","display_name":"Microflown Technologies (Netherlands)","ror":"https://ror.org/04v9sac23","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210161516"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Daniel Fernandez Comesana","raw_affiliation_strings":["Microfiown Technologies, BV Arnhem, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microfiown Technologies, BV Arnhem, The Netherlands","institution_ids":["https://openalex.org/I4210161516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017271110","display_name":"Graciano Carrillo Pousa","orcid":"https://orcid.org/0000-0002-3960-1562"},"institutions":[{"id":"https://openalex.org/I4210161516","display_name":"Microflown Technologies (Netherlands)","ror":"https://ror.org/04v9sac23","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210161516"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Graciano Carrillo Pousa","raw_affiliation_strings":["Microfiown Technologies, BV Arnhem, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microfiown Technologies, BV Arnhem, The Netherlands","institution_ids":["https://openalex.org/I4210161516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089101522","display_name":"Geert Leus","orcid":"https://orcid.org/0000-0001-8288-867X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert Leus","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4432,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83403873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"89","issue":null,"first_page":"3544","last_page":"3548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6616942286491394},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6609321236610413},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.5497742295265198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356336236000061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5288162231445312},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5136470198631287},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5118574500083923},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4783767759799957},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42710384726524353},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.32089197635650635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3039248585700989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26214396953582764},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.16419526934623718},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10198187828063965},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08540278673171997},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06726101040840149}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6616942286491394},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6609321236610413},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.5497742295265198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356336236000061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5288162231445312},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5136470198631287},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5118574500083923},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4783767759799957},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42710384726524353},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.32089197635650635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3039248585700989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26214396953582764},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.16419526934623718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10198187828063965},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08540278673171997},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06726101040840149},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2018.8462035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:b5a9fb9a-ddc7-440d-963b-0f6a48cc1002","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:b5a9fb9a-ddc7-440d-963b-0f6a48cc1002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8775580251","display_name":"tASk-cognizant sParse sensing for InfeREnce - ASPIRE","funder_award_id":"14926","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1532803926","https://openalex.org/W1792675773","https://openalex.org/W2062640633","https://openalex.org/W2066218102","https://openalex.org/W2097670707","https://openalex.org/W2127089163","https://openalex.org/W2129302642","https://openalex.org/W2131123247","https://openalex.org/W2150449179","https://openalex.org/W2166543153","https://openalex.org/W4252892319"],"related_works":["https://openalex.org/W4382204317","https://openalex.org/W2554894813","https://openalex.org/W2100915163","https://openalex.org/W2030486344","https://openalex.org/W4376608380","https://openalex.org/W2113817303","https://openalex.org/W2358276481","https://openalex.org/W2462138637","https://openalex.org/W2921654004","https://openalex.org/W2125937747"],"abstract_inverted_index":{"In":[0,77],"this":[1],"paper,":[2],"we":[3,22,30,52],"present":[4,35],"a":[5,14,26],"calibration":[6,60,84,115],"algorithm":[7],"for":[8,45,62,72,88],"acoustic":[9,63,73],"vector":[10,64],"sensors":[11],"arranged":[12],"in":[13,36,67],"uniform":[15,97],"linear":[16,43,98],"array":[17,99],"configuration.":[18],"To":[19],"do":[20,23],"so,":[21],"not":[24],"use":[25],"calibrator":[27],"source,":[28],"instead":[29],"leverage":[31],"the":[32,37,54,57,70,81,120,125],"Toeplitz":[33],"blocks":[34],"data":[38],"covariance":[39],"matrix.":[40],"We":[41],"develop":[42],"estimators":[44],"estimating":[46],"sensor":[47,65,75],"gains":[48],"and":[49,95,107],"phases.":[50],"Further,":[51],"discuss":[53],"differences":[55],"of":[56,124],"presented":[58],"blind":[59,83],"approach":[61,71],"arrays":[66],"comparison":[68],"with":[69,92],"pressure":[74],"arrays.":[76],"order":[78],"to":[79],"validate":[80],"proposed":[82],"algorithm,":[85],"simulation":[86],"results":[87],"direction-of-arrival":[89],"(DOA)":[90],"estimation":[91],"an":[93],"uncalibrated":[94],"calibrated":[96],"based":[100],"on":[101],"minimum":[102],"variance":[103],"distortion":[104],"less":[105],"response":[106],"multiple":[108],"signal":[109],"classification":[110],"algorithms":[111],"are":[112],"presented.":[113],"The":[114],"performance":[116],"is":[117],"analyzed":[118],"using":[119],"Cram\u00e9r-Rao":[121],"lower":[122],"bound":[123],"DOA":[126],"estimates.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-09-27T00:00:00"}