{"id":"https://openalex.org/W2889156138","doi":"https://doi.org/10.1109/sam.2018.8448880","title":"Sparse Bayesian Learning for DOA Estimation of Correlated Sources","display_name":"Sparse Bayesian Learning for DOA Estimation of Correlated Sources","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2889156138","doi":"https://doi.org/10.1109/sam.2018.8448880","mag":"2889156138"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2018.8448880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5073787370","display_name":"Christoph F. Mecklenbriiuker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christoph F. Mecklenbriiuker","raw_affiliation_strings":["Inst. of Telecommunications, Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Inst. of Telecommunications, Wien, Austria","institution_ids":["https://openalex.org/I4210122474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004718675","display_name":"Peter Gerstoft","orcid":"https://orcid.org/0000-0002-0471-062X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Gerstoft","raw_affiliation_strings":["University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"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":["Dept. of Electrical Eng., Delft Univ. of Technology"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Eng., Delft Univ. of Technology","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073787370"],"corresponding_institution_ids":["https://openalex.org/I4210122474"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.44633031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"537"},"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.6705833673477173},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6063573360443115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5777568817138672},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4855601489543915},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4567048251628876},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4258502721786499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4087742865085602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09689241647720337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705833673477173},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6063573360443115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5777568817138672},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4855601489543915},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4567048251628876},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4258502721786499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4087742865085602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09689241647720337},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sam.2018.8448880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:6d53129b-ff3b-490b-bcbf-0c995e7651c2","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:6d53129b-ff3b-490b-bcbf-0c995e7651c2","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W866015105","https://openalex.org/W1124870649","https://openalex.org/W1834265579","https://openalex.org/W1961498716","https://openalex.org/W1974718273","https://openalex.org/W1997222146","https://openalex.org/W2006035071","https://openalex.org/W2017713888","https://openalex.org/W2042565723","https://openalex.org/W2103519107","https://openalex.org/W2134609006","https://openalex.org/W2139313032","https://openalex.org/W2146000945","https://openalex.org/W2146172302","https://openalex.org/W2148154358","https://openalex.org/W2152279006","https://openalex.org/W2162654459","https://openalex.org/W2290170958","https://openalex.org/W2783180185","https://openalex.org/W2898916015","https://openalex.org/W3098352114","https://openalex.org/W3104217244","https://openalex.org/W4241068368","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":{"Direction":[0],"of":[1,35,52,58,61,66],"arrival":[2],"(DOA)":[3],"estimation":[4],"from":[5,40],"array":[6,43],"observations":[7],"in":[8,56],"a":[9],"noisy":[10],"environment":[11],"is":[12,54],"discussed.":[13],"The":[14,30,50],"source":[15],"amplitudes":[16],"are":[17,38],"assumed":[18],"to":[19],"be":[20],"correlated":[21],"zero-mean":[22],"complex":[23],"Gaussian":[24],"distributed":[25],"with":[26],"unknown":[27],"covariance":[28,33],"matrix.":[29],"DOAs":[31],"and":[32],"parameters":[34],"plane":[36,69],"waves":[37],"estimated":[39,68],"multi-snapshot":[41],"sensor":[42],"data":[44],"using":[45],"sparse":[46],"Bayesian":[47],"learning":[48],"(SBL).":[49],"performance":[51],"SBL":[53],"evaluated":[55],"terms":[57],"the":[59,62,67],"fidelity":[60],"reconstructed":[63],"coherency":[64],"matrix":[65],"waves.":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}