{"id":"https://openalex.org/W3035304152","doi":"https://doi.org/10.1109/sam48682.2020.9104347","title":"Low-cost Beamforming-based DOA Estimation with Model Order Determination","display_name":"Low-cost Beamforming-based DOA Estimation with Model Order Determination","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3035304152","doi":"https://doi.org/10.1109/sam48682.2020.9104347","mag":"3035304152"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th 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/A5003057050","display_name":"Elias Aboutanios","orcid":"https://orcid.org/0000-0003-1596-4999"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Elias Aboutanios","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036819529","display_name":"Aboulnasr Hassanien","orcid":"https://orcid.org/0000-0001-7636-1724"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aboulnasr Hassanien","raw_affiliation_strings":["Department of Electrical Engineering, Wright State University, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2166,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79206888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8873844742774963},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7028444409370422},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6276189684867859},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.6171780824661255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5822298526763916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.56117182970047},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5597335696220398},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4910776615142822},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46655863523483276},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4462246298789978},{"id":"https://openalex.org/keywords/information-criteria","display_name":"Information Criteria","score":0.4242286682128906},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4126729965209961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4071856141090393},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2588571608066559},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.2170233130455017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20038387179374695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1668841540813446}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.8873844742774963},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7028444409370422},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6276189684867859},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.6171780824661255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5822298526763916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56117182970047},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5597335696220398},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4910776615142822},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46655863523483276},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4462246298789978},{"id":"https://openalex.org/C2776709221","wikidata":"https://www.wikidata.org/wiki/Q6031040","display_name":"Information Criteria","level":3,"score":0.4242286682128906},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4126729965209961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4071856141090393},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2588571608066559},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2170233130455017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20038387179374695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1668841540813446},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1500470240","https://openalex.org/W1833575429","https://openalex.org/W1855438384","https://openalex.org/W2054658115","https://openalex.org/W2087543940","https://openalex.org/W2090254655","https://openalex.org/W2096710051","https://openalex.org/W2098588438","https://openalex.org/W2100567194","https://openalex.org/W2113638573","https://openalex.org/W2123930706","https://openalex.org/W2128131274","https://openalex.org/W2142635246","https://openalex.org/W2156893865","https://openalex.org/W2161135203","https://openalex.org/W2162654459","https://openalex.org/W2170332089","https://openalex.org/W2429254964","https://openalex.org/W2520496945","https://openalex.org/W2531097578","https://openalex.org/W2562614807","https://openalex.org/W2905003040","https://openalex.org/W2918179523","https://openalex.org/W2952350176"],"related_works":["https://openalex.org/W2987333292","https://openalex.org/W2544537192","https://openalex.org/W2096710051","https://openalex.org/W2033907215","https://openalex.org/W1975924842","https://openalex.org/W2423290227","https://openalex.org/W2106276352","https://openalex.org/W1495578089","https://openalex.org/W2000122651","https://openalex.org/W31930078"],"abstract_inverted_index":{"Direction":[0],"of":[1,9,12,33,111,117,120,137],"Arrival":[2],"(DOA)":[3],"estimation":[4,39],"algorithms":[5],"generally":[6],"assume":[7],"knowledge":[8],"the":[10,21,26,31,34,48,65,79,85,95,99,102,108,112,118,135,147,151,155,167],"number":[11,119,136],"sources.":[13,121],"This":[14],"crucial":[15],"parameter":[16],"is":[17,71,128,163],"either":[18],"determined":[19],"by":[20],"problem":[22],"or":[23],"estimated":[24],"from":[25],"available":[27],"observations":[28],"prior":[29],"to":[30,131,166],"application":[32],"DOA":[35],"estimators.":[36],"Model":[37],"order":[38],"(MOE)":[40],"strategies":[41],"via":[42],"information":[43,80],"theoretic":[44,81],"criteria":[45,82,114],"such":[46],"as":[47,105,107],"Akaike":[49],"Information":[50],"Criterion":[51,59],"(AIC),":[52],"Minimum":[53],"Description":[54],"Length":[55],"(MDL),":[56],"and":[57,139],"Hannan-Quinn":[58],"(HQC),":[60],"are":[61],"usually":[62],"implemented":[63],"using":[64],"singular":[66],"value":[67],"decomposition":[68],"(SVD)":[69],"which":[70],"computationally":[72],"expensive.":[73],"In":[74],"this":[75],"work,":[76],"we":[77],"incorporate":[78],"directly":[83],"into":[84],"recently":[86],"proposed":[87],"Fast":[88],"Iterative":[89],"Interpolation":[90],"Beamformer":[91],"(FIIB),":[92],"thus":[93],"avoiding":[94],"SVD.":[96],"We":[97],"derive":[98],"expressions":[100],"for":[101],"likelihood":[103],"function":[104],"well":[106],"penalty":[109],"parameters":[110],"three":[113],"in":[115],"terms":[116],"The":[122],"resulting":[123],"FIIB":[124,156,169],"with":[125,157],"MOE":[126,149],"algorithm":[127],"then":[129],"able":[130],"at":[132],"once":[133],"determine":[134],"sources":[138],"estimate":[140],"their":[141],"parameters.":[142],"Simulation":[143],"results":[144],"demonstrate":[145],"that":[146,162],"FIIB-based":[148],"outperforms":[150],"SVD-based":[152],"MOE.":[153],"Furthermore":[154],"MDL":[158],"achieves":[159],"a":[160],"performance":[161],"very":[164],"close":[165],"original":[168],"algorithm.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
