{"id":"https://openalex.org/W4388758133","doi":"https://doi.org/10.1109/uemcon59035.2023.10316103","title":"Performance Analysis of SVM-Based DOA Estimation for Uniform Linear Arrays","display_name":"Performance Analysis of SVM-Based DOA Estimation for Uniform Linear Arrays","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4388758133","doi":"https://doi.org/10.1109/uemcon59035.2023.10316103"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon59035.2023.10316103","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10316103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.uri.edu/ele_facpubs/1696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071809441","display_name":"Showrov Rahman","orcid":"https://orcid.org/0000-0003-1447-236X"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Showrov Rahman","raw_affiliation_strings":["University of Rhode Island,Kingston,RI,USA,02881"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,RI,USA,02881","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093279992","display_name":"Yashaswini Mandalam","orcid":null},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashaswini Mandalam","raw_affiliation_strings":["University of Rhode Island,Kingston,RI,USA,02881"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,RI,USA,02881","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057521393","display_name":"Kaushallya Adhikari","orcid":"https://orcid.org/0000-0002-0706-0781"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushallya Adhikari","raw_affiliation_strings":["University of Rhode Island,Kingston,RI,USA,02881"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,RI,USA,02881","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17626003"],"apc_list":null,"apc_paid":null,"fwci":0.5477,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65222504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"198","issue":null,"first_page":"339","last_page":"345"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9983999729156494,"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/support-vector-machine","display_name":"Support vector machine","score":0.7676049470901489},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7336609363555908},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.6425612568855286},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.6308379173278809},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5827338695526123},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5226485729217529},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5209487676620483},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.48660266399383545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4825688898563385},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.464496374130249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4335364103317261},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43018895387649536},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42702099680900574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3973310589790344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821903169155121},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29638034105300903},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06959870457649231}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7676049470901489},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7336609363555908},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.6425612568855286},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.6308379173278809},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5827338695526123},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5226485729217529},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5209487676620483},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.48660266399383545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4825688898563385},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.464496374130249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4335364103317261},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43018895387649536},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42702099680900574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3973310589790344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821903169155121},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29638034105300903},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06959870457649231},{"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},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/uemcon59035.2023.10316103","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10316103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-2696","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/1696","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-2696","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/1696","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1480376833","https://openalex.org/W1623214386","https://openalex.org/W1964940342","https://openalex.org/W1967903496","https://openalex.org/W1973489105","https://openalex.org/W1978318660","https://openalex.org/W2013122854","https://openalex.org/W2029938263","https://openalex.org/W2055522016","https://openalex.org/W2081917933","https://openalex.org/W2087347434","https://openalex.org/W2098975265","https://openalex.org/W2099422616","https://openalex.org/W2100235421","https://openalex.org/W2104266700","https://openalex.org/W2109667775","https://openalex.org/W2119821739","https://openalex.org/W2127303624","https://openalex.org/W2134858623","https://openalex.org/W2142072015","https://openalex.org/W2144412017","https://openalex.org/W2148985304","https://openalex.org/W2157445035","https://openalex.org/W2161666352","https://openalex.org/W2164390589","https://openalex.org/W2587337177","https://openalex.org/W2763708625","https://openalex.org/W2779465872","https://openalex.org/W2912118475","https://openalex.org/W2912665137","https://openalex.org/W2943406433","https://openalex.org/W2976870228","https://openalex.org/W2981512286","https://openalex.org/W3005894484","https://openalex.org/W3007990324","https://openalex.org/W3023211159","https://openalex.org/W3152543689","https://openalex.org/W3199965690","https://openalex.org/W3201301505","https://openalex.org/W4223454196","https://openalex.org/W4232369613","https://openalex.org/W4285101252","https://openalex.org/W4321844014","https://openalex.org/W4362480373","https://openalex.org/W4377092264","https://openalex.org/W4381745316","https://openalex.org/W4388757688","https://openalex.org/W4389544007"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W1603091392","https://openalex.org/W4389428786","https://openalex.org/W2974741803","https://openalex.org/W2165576085","https://openalex.org/W4386075310","https://openalex.org/W2169565408","https://openalex.org/W2420851703","https://openalex.org/W2089892314","https://openalex.org/W4291669689"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machine":[2,7],"(SVM)":[3],"is":[4],"a":[5,39,138],"powerful":[6],"learning":[8],"algorithm":[9],"which":[10],"has":[11],"been":[12],"used":[13],"for":[14,146],"classification":[15,30,47,80],"and":[16,32,35,70,108,170,179],"regression":[17],"in":[18,129],"array":[19,42],"signal":[20,34],"processing.":[21],"This":[22],"paper":[23],"investigates":[24],"the":[25,28,46,58,63,79,88,95,103,114,119,123,127,135,142,160,164,188,192,200,211],"relationship":[26],"between":[27],"SVM":[29,59,174],"accuracy":[31,104,124,136],"different":[33,53,173],"sensor":[36],"parameters.":[37],"For":[38],"uniform":[40],"linear":[41,185],"(ULA),":[43],"we":[44],"consider":[45],"of":[48,55,65,72,90,113,116,141,144],"two":[49],"plane":[50],"waves":[51],"with":[52],"directions":[54],"arrival":[56],"using":[57,150],"algorithm.":[60],"We":[61,133,167],"vary":[62],"number":[64,71,89,115,143],"sensors,":[66],"signal-to-noise":[67],"ratio":[68],"(SNR),":[69],"snapshots":[73,145],"to":[74,199,210],"examine":[75],"their":[76,130],"impacts":[77],"on":[78],"accuracy.":[81],"The":[82,154,184],"simulation":[83,151,155,207],"results":[84,156],"show":[85,157],"that":[86,158],"increasing":[87,159],"sensors":[91],"or":[92],"SNR":[93,101,120,148,161],"increases":[94,125],"accuracy,":[96],"as":[97,137],"expected.":[98],"In":[99],"low":[100],"regions,":[102],"values":[105,131],"fluctuate":[106],"substantially":[107],"are":[109],"highly":[110],"nonlinear":[111],"functions":[112],"snapshots.":[117],"As":[118],"level":[121,162],"increases,":[122],"while":[126],"fluctuation":[128],"decreases.":[132],"express":[134],"polynomial":[139,165,193],"function":[140,182],"fixed":[147],"values,":[149],"data":[152],"points.":[153],"improves":[163],"fitting.":[166],"also":[168],"employed":[169],"compared":[171,198,209],"three":[172],"kernel":[175,186,194],"functions:":[176],"linear,":[177],"polynomial,":[178],"radial":[180],"basis":[181],"(RBF).":[183],"provides":[187],"worst":[189],"performance.":[190],"Although":[191],"shows":[195],"superior":[196],"performance":[197],"RBF":[201,212],"kernel,":[202],"it":[203],"takes":[204],"significantly":[205],"longer":[206],"time":[208],"kernel.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}