{"id":"https://openalex.org/W4408353242","doi":"https://doi.org/10.1109/icassp49660.2025.10889049","title":"Robust Deterministic DOA Estimation Using \u03b1-divergence in Unknown Noise Fields with Sparse Sensor Arrays","display_name":"Robust Deterministic DOA Estimation Using \u03b1-divergence in Unknown Noise Fields with Sparse Sensor Arrays","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353242","doi":"https://doi.org/10.1109/icassp49660.2025.10889049"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5034468300","display_name":"Wenjing Yang","orcid":"https://orcid.org/0009-0006-0373-9961"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Wenjing Yang","raw_affiliation_strings":["School of Mathematics and Statistics The University of Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics The University of Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084681382","display_name":"Abd\u2010Krim Seghouane","orcid":"https://orcid.org/0000-0003-4619-734X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abd-Krim Seghouane","raw_affiliation_strings":["School of Mathematics and Statistics The University of Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics The University of Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108295193","display_name":"Pavel Krupskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pavel Krupskiy","raw_affiliation_strings":["School of Mathematics and Statistics The University of Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics The University of Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034468300"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05187195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9890000224113464,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9890000224113464,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/divergence","display_name":"Divergence (linguistics)","score":0.6891789436340332},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6095749735832214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810096859931946},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4994966983795166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43074941635131836},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41021350026130676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3530745804309845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3414497375488281},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.31741243600845337},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12806299328804016}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6891789436340332},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6095749735832214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810096859931946},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4994966983795166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43074941635131836},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41021350026130676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3530745804309845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3414497375488281},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.31741243600845337},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12806299328804016},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1834265579","https://openalex.org/W1971085322","https://openalex.org/W1980262437","https://openalex.org/W2087543940","https://openalex.org/W2102678064","https://openalex.org/W2113638573","https://openalex.org/W2116414176","https://openalex.org/W2121165908","https://openalex.org/W2124208643","https://openalex.org/W2131146604","https://openalex.org/W2131826810","https://openalex.org/W2133525817","https://openalex.org/W2149755721","https://openalex.org/W2150070703","https://openalex.org/W2154722188","https://openalex.org/W2158541895","https://openalex.org/W2165934023","https://openalex.org/W2166543153","https://openalex.org/W2952161969","https://openalex.org/W3158364670","https://openalex.org/W4375868767","https://openalex.org/W4375868982","https://openalex.org/W4402916793"],"related_works":["https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W4388819787","https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3108403339","https://openalex.org/W3112120395"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,30,74,79,84,97,120],"problem":[6],"of":[7,22,60,69,99,116],"robust":[8,40,108],"direction-of-arrival":[9],"(DOA)":[10],"estimation":[11,42,110],"in":[12,24],"unknown":[13],"spatially":[14],"cor-related":[15],"noise":[16,31],"fields":[17],"using":[18],"sensor":[19],"arrays":[20],"composed":[21],"subarrays":[23],"sparse":[25],"configurations.":[26],"such":[28],"arrays,":[29],"covariance":[32],"matrix":[33],"has":[34],"a":[35,47],"block-diagonal":[36],"structure.":[37],"The":[38,67],"proposed":[39,80],"DOA":[41,109],"method":[43,81,94],"is":[44,71],"derived":[45],"from":[46],"parametric":[48],"distribution":[49],"divergence,":[50],"\u03b1-divergence.":[51],"Our":[52],"approach":[53],"can":[54],"be":[55],"viewed":[56],"as":[57,77],"an":[58],"extension":[59],"existing":[61],"Maximum":[62],"Likelihood":[63],"(ML)":[64],"iterative":[65],"procedures.":[66],"degree":[68],"robustness":[70],"controlled":[72],"by":[73],"parameter":[75],"\u03b1:":[76],"\u03b1\u21921,":[78],"converges":[82],"to":[83],"traditional":[85],"ML":[86,121],"approach,":[87],"while":[88],"for":[89],"\u03b1":[90],"<":[91],"1,":[92],"our":[93,107],"effectively":[95],"mitigates":[96],"impact":[98],"potential":[100],"outliers.":[101],"Moreover,":[102],"simulation":[103],"studies":[104],"show":[105],"that":[106],"not":[111],"only":[112],"handles":[113],"two":[114],"types":[115],"outliers":[117],"better":[118],"than":[119],"method,":[122],"but":[123],"also":[124],"exhibits":[125],"high":[126],"breakdown":[127],"point":[128],"properties.":[129]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}