{"id":"https://openalex.org/W4383890457","doi":"https://doi.org/10.1109/tgrs.2023.3293866","title":"Robust DOA Estimation Method for Underwater Acoustic Vector Sensor Array in Presence of Ambient Noise","display_name":"Robust DOA Estimation Method for Underwater Acoustic Vector Sensor Array in Presence of Ambient Noise","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383890457","doi":"https://doi.org/10.1109/tgrs.2023.3293866"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3293866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3293866","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5022593281","display_name":"Aifei Liu","orcid":"https://orcid.org/0000-0002-9317-8013"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aifei Liu","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi’an, China","College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9317-8013","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008743554","display_name":"Shengguo Shi","orcid":"https://orcid.org/0000-0002-7147-3783"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengguo Shi","raw_affiliation_strings":["College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7147-3783","affiliations":[{"raw_affiliation_string":"College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101885111","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0001-7343-5812"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China","Powerchina Hubei Electric Engineering CO., LTD, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Powerchina Hubei Electric Engineering CO., LTD, Wuhan, China","institution_ids":["https://openalex.org/I4210154338"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7344,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84125814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/ambient-noise-level","display_name":"Ambient noise level","score":0.6570415496826172},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6535435914993286},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5537249445915222},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.550834596157074},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.50776207447052},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.48962289094924927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4655407667160034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4606938064098358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44903066754341125},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.383699506521225},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.36409348249435425},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34932440519332886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1414024531841278},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11720553040504456}],"concepts":[{"id":"https://openalex.org/C205312793","wikidata":"https://www.wikidata.org/wiki/Q16002801","display_name":"Ambient noise level","level":3,"score":0.6570415496826172},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6535435914993286},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5537249445915222},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.550834596157074},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.50776207447052},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.48962289094924927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4655407667160034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4606938064098358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44903066754341125},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.383699506521225},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.36409348249435425},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34932440519332886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1414024531841278},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11720553040504456},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3293866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3293866","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G3008431639","display_name":null,"funder_award_id":"61701133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8129363241","display_name":null,"funder_award_id":"D5000210641","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1623214386","https://openalex.org/W1970033169","https://openalex.org/W1978671687","https://openalex.org/W2004251430","https://openalex.org/W2036888338","https://openalex.org/W2047130136","https://openalex.org/W2081586386","https://openalex.org/W2082374868","https://openalex.org/W2098130138","https://openalex.org/W2103519107","https://openalex.org/W2104610749","https://openalex.org/W2113638573","https://openalex.org/W2117345021","https://openalex.org/W2127892623","https://openalex.org/W2128131274","https://openalex.org/W2131123247","https://openalex.org/W2138320838","https://openalex.org/W2164997031","https://openalex.org/W2166543153","https://openalex.org/W2167319728","https://openalex.org/W2170400088","https://openalex.org/W2171534412","https://openalex.org/W2320827350","https://openalex.org/W2464380845","https://openalex.org/W2535477605","https://openalex.org/W2565201095","https://openalex.org/W2571026412","https://openalex.org/W2800765438","https://openalex.org/W2915089102","https://openalex.org/W2924119777","https://openalex.org/W2998382629","https://openalex.org/W2998529470","https://openalex.org/W3194646605","https://openalex.org/W3195395747","https://openalex.org/W3200456871","https://openalex.org/W3202342508","https://openalex.org/W4285739898","https://openalex.org/W4313193986"],"related_works":["https://openalex.org/W2117760611","https://openalex.org/W2387106590","https://openalex.org/W2150953077","https://openalex.org/W2005921625","https://openalex.org/W2101754154","https://openalex.org/W2089410207","https://openalex.org/W2113096693","https://openalex.org/W2156673141","https://openalex.org/W1976060951","https://openalex.org/W2561413216"],"abstract_inverted_index":{"The":[0,150],"ambient":[1,67,122,160,168],"noise":[2,105,169,195,251],"covariance":[3,96,119,133,252],"matrix":[4,97,120],"for":[5],"the":[6,25,34,40,55,61,66,88,94,104,109,113,117,127,131,135,159,167,171,188,197,202,216,222,231,239,249,258,265,273,278,292,299,303,309,320,325,338],"array":[7,95,315,333],"of":[8,27,43,60,65,102,116,130,158,173,187,210,280,302,316,334],"underwater":[9],"acoustic":[10],"vector":[11],"sensors":[12],"(AVSs)":[13],"is":[14,106,155,164,183,236,255],"not":[15,245],"equal":[16],"to":[17,39,49,98,146,166,215,247],"a":[18,71,99,140,193,227,288],"scaled":[19],"identity":[20],"matrix.":[21],"This":[22],"fact":[23],"contradicts":[24],"requirement":[26],"subspace-based":[28],"DOA":[29,45,73,148],"estimation":[30,74],"methods":[31],"such":[32],"as":[33,82,213],"conventional":[35,217],"MUSIC":[36,84,90,137,153,199,218,242,267,305],"method,":[37,306],"leading":[38],"performance":[41],"degradation":[42],"their":[44],"estimation.":[46,149],"In":[47,86,176],"order":[48],"overcome":[50],"this":[51],"problem,":[52],"we":[53],"explore":[54],"real-":[56],"and":[57,63,69,226,324],"imaginary-":[58],"property":[59],"auto-correlation":[62],"cross-correlation":[64],"noise,":[68],"propose":[70],"MUSIC-based":[72],"method":[75,91,138,154,200,219,243,268],"with":[76,192],"asymptotically":[77,156],"Ambient":[78],"Noise":[79],"Elimination":[80],"(Named":[81],"ANE":[83,89,136,152,198,241,266,304],"method).":[85],"particular,":[87],"first":[92],"transforms":[93],"new":[100],"one":[101],"which":[103,220,254],"concentrated":[107],"in":[108,170,208,277,319,337,341],"real":[110,310,326],"part.":[111],"Thus,":[112],"imaginary":[114,128],"part":[115,129],"transformed":[118,132],"eliminates":[121],"noise.":[123,161],"Afterwards,":[124],"based":[125,307],"on":[126,308],"matrix,":[134,253],"employs":[139],"real-valued":[141,194],"Singular":[142],"Value":[143],"Decomposition":[144],"(SVD)":[145],"complete":[147],"proposed":[151,240],"independent":[157],"Therefore,":[162],"it":[163,286],"robust":[165],"case":[172,279],"limited":[174],"snapshots.":[175],"addition,":[177],"since":[178],"its":[179],"involved":[180],"spectral":[181,211,228],"searching":[182,229],"over":[184,230],"only":[185],"half":[186],"total":[189,232],"angular":[190,233],"field-of-view":[191],"subspace,":[196],"reduces":[201],"computational":[203],"complexity":[204],"by":[205,313,329],"about":[206],"75%":[207],"terms":[209],"searching,":[212],"compared":[214],"utilizes":[221],"complex-valued":[223],"Eigenvalue":[224],"Decomposition(EVD)":[225],"field-of-view.":[234],"It":[235],"noted":[237],"that":[238],"does":[244],"require":[246],"know":[248],"prior":[250],"different":[256],"from":[257],"existing":[259],"prewhitening":[260],"solution.":[261],"Simulation":[262],"results":[263,297],"demonstrate":[264],"performs":[269],"significantly":[270],"better":[271],"than":[272],"other":[274],"methods,":[275],"especially":[276],"low":[281],"signal-to-noise":[282],"ratios":[283],"(SNRs).":[284],"Moreover,":[285],"gains":[287],"certain":[289],"robustness":[290],"against":[291],"sensor":[293],"gain-phase":[294],"errors.":[295],"Experimental":[296],"verify":[298],"practical":[300],"effectiveness":[301],"data":[311,327],"collected":[312,328],"an":[314,330],"two":[317],"AVSs":[318,336],"anechoic":[321],"water":[322],"tank":[323],"uniformly":[331],"circular":[332],"eight":[335],"Songhua":[339],"Lake":[340],"Jilin,":[342],"China.":[343]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}