{"id":"https://openalex.org/W2249387982","doi":"https://doi.org/10.1109/camsap.2015.7383807","title":"An efficient Direction-Of-Arrival estimation method for Uniform Rectangular Array based on array covariance matrix element properties","display_name":"An efficient Direction-Of-Arrival estimation method for Uniform Rectangular Array based on array covariance matrix element properties","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2249387982","doi":"https://doi.org/10.1109/camsap.2015.7383807","mag":"2249387982"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2015.7383807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5034784131","display_name":"Koichi Ichige","orcid":"https://orcid.org/0000-0001-7663-6919"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koichi Ichige","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Yokohama National University, Hodogaya-ku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Yokohama National University, Hodogaya-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061730538","display_name":"Yu Iwabuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Iwabuchi","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Yokohama National University, Hodogaya-ku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Yokohama National University, Hodogaya-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034784131"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6873834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/smoothing","display_name":"Smoothing","score":0.7641772031784058},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7571291327476501},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6744366884231567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6243380308151245},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5311440825462341},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.525496780872345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5246456265449524},{"id":"https://openalex.org/keywords/circular-buffer","display_name":"Circular buffer","score":0.4943075180053711},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4901946187019348},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.46372100710868835},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4622160792350769},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35360345244407654},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32063305377960205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15671026706695557},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12816819548606873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11061796545982361}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7641772031784058},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7571291327476501},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6744366884231567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6243380308151245},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5311440825462341},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.525496780872345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5246456265449524},{"id":"https://openalex.org/C85686653","wikidata":"https://www.wikidata.org/wiki/Q1224994","display_name":"Circular buffer","level":2,"score":0.4943075180053711},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4901946187019348},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.46372100710868835},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4622160792350769},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35360345244407654},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32063305377960205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15671026706695557},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12816819548606873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11061796545982361},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2015.7383807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1617734230","https://openalex.org/W1952629836","https://openalex.org/W1994477821","https://openalex.org/W2005200408","https://openalex.org/W2005921625","https://openalex.org/W2017473537","https://openalex.org/W2067208654","https://openalex.org/W2112995272","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2136274821","https://openalex.org/W2598194391","https://openalex.org/W2611469656","https://openalex.org/W4299994503"],"related_works":["https://openalex.org/W1965620229","https://openalex.org/W2025000420","https://openalex.org/W4382204317","https://openalex.org/W2392041785","https://openalex.org/W2554894813","https://openalex.org/W2100915163","https://openalex.org/W2036411871","https://openalex.org/W2888890149","https://openalex.org/W4316658506","https://openalex.org/W334600925"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"computationally":[4],"efficient":[5],"Direction-Of-Arrival":[6],"(DOA)":[7],"estimation":[8],"method":[9,26,64],"for":[10,18,34],"Uniform":[11,35],"Rectangular":[12],"Array":[13,37],"(URA),":[14],"which":[15],"is":[16,27,65],"effective":[17],"both":[19],"correlated":[20],"and":[21,57],"uncorrelated":[22],"sources.":[23],"The":[24],"proposed":[25,63],"an":[28],"extension":[29],"of":[30,47,61],"our":[31],"previous":[32],"study":[33],"Linear":[36],"(ULA),":[38],"basically":[39],"based":[40],"on":[41],"the":[42,45,62],"relation":[43],"between":[44],"elements":[46],"array":[48],"covariance":[49],"matrix,":[50],"does":[51],"not":[52],"need":[53],"iteration,":[54],"angular":[55],"peak-search":[56],"spatial":[58],"smoothing.":[59],"Performance":[60],"evaluated":[66],"through":[67],"computer":[68],"simulation.":[69]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}