{"id":"https://openalex.org/W3117331509","doi":"https://doi.org/10.1109/tim.2020.3047501","title":"A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements","display_name":"A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3117331509","doi":"https://doi.org/10.1109/tim.2020.3047501","mag":"3117331509"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3047501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3047501","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","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/A5050267843","display_name":"Ning Chu","orcid":"https://orcid.org/0000-0003-1514-873X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Chu","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011221771","display_name":"Yue Ning","orcid":"https://orcid.org/0000-0002-5981-2121"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ning","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814743","display_name":"Liang Yu","orcid":"https://orcid.org/0009-0007-3922-3454"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067337754","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0002-6248-080X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075505513","display_name":"Dazhuan Wu","orcid":"https://orcid.org/0000-0003-1439-2386"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhuan Wu","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050267843"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":3.5042,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93678838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.6050686240196228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.546846866607666},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5394104719161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.479346364736557},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.47104525566101074},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46068695187568665},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.44473573565483093},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.442581444978714},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43929722905158997},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.43437016010284424},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42276668548583984},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.4119293689727783},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3818739950656891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35493141412734985},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3501054048538208},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.21557852625846863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.143388032913208},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09909918904304504}],"concepts":[{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.6050686240196228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.546846866607666},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5394104719161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.479346364736557},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.47104525566101074},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46068695187568665},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.44473573565483093},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.442581444978714},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43929722905158997},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.43437016010284424},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42276668548583984},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4119293689727783},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3818739950656891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35493141412734985},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3501054048538208},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.21557852625846863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.143388032913208},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09909918904304504},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3047501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3047501","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.46000000834465027,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1813637079","display_name":null,"funder_award_id":"MSV202001","funder_id":"https://openalex.org/F4320327024","funder_display_name":"State Key Laboratory of Mechanical System and Vibration"},{"id":"https://openalex.org/G4916138179","display_name":null,"funder_award_id":"61701440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7134125143","display_name":null,"funder_award_id":"11704248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327024","display_name":"State Key Laboratory of Mechanical System and Vibration","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W292260856","https://openalex.org/W1415764791","https://openalex.org/W1515407204","https://openalex.org/W1973448320","https://openalex.org/W1979226744","https://openalex.org/W1991212499","https://openalex.org/W1993088102","https://openalex.org/W1993496072","https://openalex.org/W1999970560","https://openalex.org/W2000840732","https://openalex.org/W2005602327","https://openalex.org/W2035091842","https://openalex.org/W2060416503","https://openalex.org/W2063215935","https://openalex.org/W2076087797","https://openalex.org/W2098456627","https://openalex.org/W2102713981","https://openalex.org/W2120432176","https://openalex.org/W2127617367","https://openalex.org/W2146899947","https://openalex.org/W2164390589","https://openalex.org/W2183909726","https://openalex.org/W2254177008","https://openalex.org/W2292417508","https://openalex.org/W2297259788","https://openalex.org/W2330507950","https://openalex.org/W2335405900","https://openalex.org/W2464218466","https://openalex.org/W2576145321","https://openalex.org/W2600717762","https://openalex.org/W2739058634","https://openalex.org/W2739534060","https://openalex.org/W2808484484","https://openalex.org/W2808901086","https://openalex.org/W2885034036","https://openalex.org/W2889199076","https://openalex.org/W2899366542","https://openalex.org/W2901049758","https://openalex.org/W2914384479","https://openalex.org/W2954145571","https://openalex.org/W2967239700","https://openalex.org/W2969805916","https://openalex.org/W3019554044","https://openalex.org/W3022782403","https://openalex.org/W3035243401","https://openalex.org/W4241068368","https://openalex.org/W6610454912","https://openalex.org/W6678007862","https://openalex.org/W6686369103","https://openalex.org/W6691766877","https://openalex.org/W6697367849"],"related_works":["https://openalex.org/W2793406240","https://openalex.org/W2164129707","https://openalex.org/W4292122269","https://openalex.org/W2949366006","https://openalex.org/W4382724518","https://openalex.org/W1489431616","https://openalex.org/W4214574858","https://openalex.org/W2107386393","https://openalex.org/W2763914732","https://openalex.org/W4221153946"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,67],"variational":[4],"Bayesian":[5],"(VB)":[6],"inference":[7,87],"based":[8,51,88],"on":[9,52,89],"the":[10,21,32,37,40,46,53,61,76,80,85,90,103,108,122,129,139,161,164,170,184],"nonsynchronous":[11],"array":[12],"measurement":[13],"(NAM)":[14],"(VB-NAM)":[15],"method":[16],"in":[17,143],"order":[18],"to":[19,44,74,127,159,182],"obtain":[20],"fast":[22],"and":[23,93,113,138,151,177,186],"robust":[24],"localization":[25],"of":[26,60,79,102,110,116,121,131,163],"low-frequency":[27,50],"acoustic":[28,47],"sources.":[29],"To":[30],"enlarge":[31],"aperture":[33],"size":[34],"compared":[35],"with":[36,49],"prototype":[38],"array,":[39],"NAM":[41,62,81],"is":[42,98,126],"performed":[43],"measure":[45],"pressures":[48],"forward":[54],"power":[55,82],"propagation":[56,83],"model.":[57],"The":[58,100,119],"implementation":[59],"can":[63],"be":[64],"reformulated":[65],"into":[66],"cross-spectral":[68],"matrix":[69,111,140],"(CSM)":[70],"completion":[71,141],"problem.":[72],"Then,":[73],"solve":[75],"inverse":[77],"problem":[78],"model,":[84],"VB":[86],"Student-t":[91],"priors":[92],"Kullback-Leibler":[94],"(KL)":[95],"divergence":[96],"optimization":[97,109],"proposed.":[99],"advantages":[101],"proposed":[104,165],"VB-NAM":[105,166],"benefit":[106],"from":[107],"inversion":[112],"adaptive":[114,123],"estimation":[115],"regularization":[117],"parameters.":[118],"contribution":[120],"parameter":[124],"evaluation":[125],"reduce":[128],"impact":[130],"multiple":[132],"interferences":[133],"(such":[134],"as":[135],"additive":[136],"noise":[137,173],"error)":[142],"NAM.":[144],"Finally,":[145],"both":[146],"simulations":[147],"at":[148,154],"800":[149],"Hz":[150,156],"experimental":[152],"results":[153],"1000":[155],"are":[157,180],"presented":[158],"show":[160],"validation":[162],"method,":[167],"even":[168],"under":[169],"anisotropic":[171],"Gaussian":[172],"conditions.":[174],"Algorithm":[175],"performance":[176],"iteration":[178],"process":[179],"analyzed":[181],"demonstrate":[183],"efficiency":[185],"robustness.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}