{"id":"https://openalex.org/W3119777115","doi":"https://doi.org/10.1109/siu49456.2020.9302233","title":"Adaptive Compressive Sensing Based Direction of Arrival Estimation Using Particle Filters","display_name":"Adaptive Compressive Sensing Based Direction of Arrival Estimation Using Particle Filters","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3119777115","doi":"https://doi.org/10.1109/siu49456.2020.9302233","mag":"3119777115"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th 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/A5103947188","display_name":"Reyhan Erg\u00fcn","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Reyhan Erg\u00fcn","raw_affiliation_strings":["Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi,Ankara,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097218096","display_name":"Berkan Kili\u04ab","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":false,"raw_author_name":"Berkan Kili\u04ab","raw_affiliation_strings":["Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi, ASELSAN Araştirma Merkezi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi, ASELSAN Araştirma Merkezi,Ankara,Türkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087858717","display_name":"Mert Kalfa","orcid":"https://orcid.org/0000-0002-6462-1776"},"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":false,"raw_author_name":"Mert Kalfa","raw_affiliation_strings":["Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi, ASELSAN Araştirma Merkezi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi, ASELSAN Araştirma Merkezi,Ankara,Türkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065341937","display_name":"Orhan Ar\u0131kan","orcid":"https://orcid.org/0000-0002-3698-8888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orhan Arikan","raw_affiliation_strings":["Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik Mühendisliği, Bilkent Üniversitesi,Ankara,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103947188"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18599808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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/compressed-sensing","display_name":"Compressed sensing","score":0.696786642074585},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6936825513839722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6256375908851624},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.625575065612793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5867120027542114},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5629953145980835},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4261312782764435},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.41200631856918335},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3143394887447357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24303153157234192},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17806699872016907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17057061195373535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13344520330429077},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09199047088623047}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.696786642074585},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6936825513839722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6256375908851624},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.625575065612793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5867120027542114},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5629953145980835},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4261312782764435},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.41200631856918335},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3143394887447357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24303153157234192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17806699872016907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17057061195373535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13344520330429077},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09199047088623047},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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":17,"referenced_works":["https://openalex.org/W1972091546","https://openalex.org/W2055600978","https://openalex.org/W2066218102","https://openalex.org/W2098613108","https://openalex.org/W2102129292","https://openalex.org/W2111787305","https://openalex.org/W2154332973","https://openalex.org/W2160584648","https://openalex.org/W2161406034","https://openalex.org/W2162100037","https://openalex.org/W2168634963","https://openalex.org/W2209060262","https://openalex.org/W2559867658","https://openalex.org/W2617877636","https://openalex.org/W2709121271","https://openalex.org/W2962845584","https://openalex.org/W3118843729"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W1976264255"],"abstract_inverted_index":{"The":[0],"signals":[1],"in":[2,9,15,55],"the":[3,50,77,82,104,125],"direction-of-arrival":[4],"(DOA)":[5],"estimation":[6,40,70,83,91,115],"problems":[7],"lie":[8],"a":[10,35,43,48,88,119],"relatively":[11],"few":[12],"dimensional":[13],"manifold":[14],"their":[16],"ambient":[17],"space.":[18],"Therefore,":[19],"compressed":[20],"sensing":[21,97],"techniques":[22],"enable":[23,32,59],"reliable":[24],"estimations.":[25],"Furthermore,":[26],"using":[27,99],"sequential":[28],"Monte":[29],"Carlo":[30],"methods":[31],"to":[33,80],"obtain":[34,81],"probability":[36,51],"distribution":[37],"for":[38,62],"DOA":[39,90],"instead":[41],"of":[42,106,121],"single":[44],"point":[45],"estimate.":[46],"As":[47],"consequence,":[49],"distributions,":[52],"when":[53],"used":[54],"measurement":[56,110,126],"matrix":[57],"design,":[58],"dimension":[60],"reduction":[61],"sensor":[63],"array":[64],"signal":[65],"processing":[66],"together":[67],"with":[68],"high":[69],"performance.":[71],"In":[72],"this":[73,100],"study,":[74],"we":[75,86],"use":[76],"Particle":[78],"Filters":[79],"distribution,":[84],"and":[85,108],"proposed":[87],"gridless":[89],"method":[92],"within":[93],"an":[94,114],"adaptive":[95],"compressive":[96],"framework":[98],"distribution.":[101],"We":[102,112],"compared":[103],"performances":[105],"random":[107],"designed":[109],"matrices.":[111],"demonstrated":[113],"performance":[116],"increase":[117],"via":[118],"set":[120],"simulations":[122],"depending":[123],"on":[124],"noise.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}