{"id":"https://openalex.org/W4400908998","doi":"https://doi.org/10.1109/siu61531.2024.10601044","title":"Direction Of Arrival Estimation In Autocorrelation Domain With Deep Learning and Autoregressive Modelling","display_name":"Direction Of Arrival Estimation In Autocorrelation Domain With Deep Learning and Autoregressive Modelling","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908998","doi":"https://doi.org/10.1109/siu61531.2024.10601044"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10601044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5104971407","display_name":"Serkan Ceran","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Serkan Ceran","raw_affiliation_strings":["Radar Elektronik Harp Sistem M&#x00FC;hendisli&#x011F;i Direkt&#x00F6;rl&#x00FC;&#x011F;&#x00FC;, ASELSAN A.&#x015E;.,Ankara,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Radar Elektronik Harp Sistem M&#x00FC;hendisli&#x011F;i Direkt&#x00F6;rl&#x00FC;&#x011F;&#x00FC;, ASELSAN A.&#x015E;.,Ankara,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003108513","display_name":"I\u015f\u0131n Erer","orcid":"https://orcid.org/0000-0002-2225-6379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I\u015f\u0131n Erer","raw_affiliation_strings":["&#x0130;stanbul Teknik &#x00DC;niversitesi,Elektrik ve Elektronik Fak&#x00FC;ltesi,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul Teknik &#x00DC;niversitesi,Elektrik ve Elektronik Fak&#x00FC;ltesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104971407"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65231279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9196000099182129,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9196000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.8535224199295044},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8132138252258301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514081358909607},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5745975971221924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284402370452881},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.4668332636356354},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44543367624282837},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4332221448421478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39729243516921997},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3572547435760498},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3517569899559021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34530144929885864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3439987003803253},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2808116674423218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21804922819137573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10050952434539795}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8535224199295044},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8132138252258301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514081358909607},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5745975971221924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284402370452881},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.4668332636356354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44543367624282837},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4332221448421478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39729243516921997},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3572547435760498},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3517569899559021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34530144929885864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3439987003803253},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2808116674423218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21804922819137573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10050952434539795},{"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/siu61531.2024.10601044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/69593","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/69593","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W1982721348","https://openalex.org/W1493644805","https://openalex.org/W2009692134","https://openalex.org/W2019155478","https://openalex.org/W1972271943","https://openalex.org/W2024529895","https://openalex.org/W2371489490","https://openalex.org/W2168175994","https://openalex.org/W1902630399"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"deep":[4,56],"learning":[5],"model":[6,46,83,94],"based":[7,89],"on":[8],"autocorrelation":[9,33,51],"domain":[10],"is":[11,29,35,52,65],"proposed":[12,55,72,93],"for":[13,48,104],"direction":[14,62],"of":[15,26,41,63,106],"arrival":[16,64,107],"estimation":[17,108],"in":[18,109],"uniform":[19],"linear":[20],"arrays.":[21],"Firstly,":[22],"the":[23,39,71,78,92],"covariance":[24,42],"matrix":[25],"received":[27],"signal":[28],"constructed":[30],"and":[31,60],"spatial":[32,50],"vector":[34],"calculated":[36,49,86],"by":[37,54],"averaging":[38],"diagonals":[40],"matrix.":[43],"The":[44],"autoregressive":[45,82],"coefficients":[47,84],"estimated":[53],"convolutional":[57],"neural":[58,100],"network":[59,101],"corresponding":[61],"calculated.":[66],"Simulation":[67],"results":[68],"demonstrate":[69],"that":[70],"method":[73,80],"shows":[74],"better":[75],"performance":[76],"than":[77,99],"classical":[79],"where":[81],"are":[85],"with":[87],"Yule-Walker":[88],"approach.":[90],"Furthermore,":[91],"requires":[95],"less":[96],"learnable":[97],"parameters":[98],"models":[102],"created":[103],"direcion":[105],"literature.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
