{"id":"https://openalex.org/W3011506235","doi":"https://doi.org/10.1109/taes.2020.2981268","title":"Performance of Chirp Parameter Estimation in the Fractional Fourier Domains and an Algorithm for Fast Chirp-Rate Estimation","display_name":"Performance of Chirp Parameter Estimation in the Fractional Fourier Domains and an Algorithm for Fast Chirp-Rate Estimation","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011506235","doi":"https://doi.org/10.1109/taes.2020.2981268","mag":"3011506235"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2020.2981268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.2981268","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5008721524","display_name":"Omair Aldimashki","orcid":"https://orcid.org/0000-0002-3854-7920"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Omair Aldimashki","raw_affiliation_strings":["Yildiz Technical University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-3854-7920","affiliations":[{"raw_affiliation_string":"Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041471692","display_name":"Ahmet Serbes","orcid":"https://orcid.org/0000-0003-4658-928X"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Serbes","raw_affiliation_strings":["Yildiz Technical University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-4658-928X","affiliations":[{"raw_affiliation_string":"Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":9.1343,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.98854004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"56","issue":"5","first_page":"3685","last_page":"3700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9778000116348267,"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/chirp","display_name":"Chirp","score":0.9474884867668152},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7424822449684143},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.6799808740615845},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6354681253433228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6123474836349487},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5734831690788269},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5419763326644897},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.46549734473228455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4242130517959595},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.4199248254299164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32625091075897217},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.2996881306171417},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1606183648109436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10649541020393372},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07576709985733032}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.9474884867668152},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7424822449684143},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.6799808740615845},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6354681253433228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6123474836349487},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5734831690788269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5419763326644897},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.46549734473228455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4242130517959595},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.4199248254299164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32625091075897217},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.2996881306171417},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1606183648109436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10649541020393372},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07576709985733032},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2020.2981268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.2981268","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W282356372","https://openalex.org/W606473257","https://openalex.org/W1538006934","https://openalex.org/W1596607002","https://openalex.org/W1963821050","https://openalex.org/W1982017146","https://openalex.org/W1985220763","https://openalex.org/W1991645260","https://openalex.org/W2016491856","https://openalex.org/W2022691447","https://openalex.org/W2033082431","https://openalex.org/W2039644648","https://openalex.org/W2041025639","https://openalex.org/W2043085029","https://openalex.org/W2058973663","https://openalex.org/W2070118810","https://openalex.org/W2073703261","https://openalex.org/W2082819064","https://openalex.org/W2089251976","https://openalex.org/W2091976656","https://openalex.org/W2095071895","https://openalex.org/W2100567194","https://openalex.org/W2105737698","https://openalex.org/W2108710836","https://openalex.org/W2114793899","https://openalex.org/W2116776886","https://openalex.org/W2119644817","https://openalex.org/W2120539736","https://openalex.org/W2124596920","https://openalex.org/W2126421006","https://openalex.org/W2131932056","https://openalex.org/W2139106846","https://openalex.org/W2145017037","https://openalex.org/W2158576013","https://openalex.org/W2162267159","https://openalex.org/W2166265025","https://openalex.org/W2166760964","https://openalex.org/W2170021087","https://openalex.org/W2564221873","https://openalex.org/W2568618766","https://openalex.org/W2582666574","https://openalex.org/W2586442867","https://openalex.org/W2592680288","https://openalex.org/W2623047318","https://openalex.org/W2757771685","https://openalex.org/W2765334632","https://openalex.org/W2766884021","https://openalex.org/W2905574772","https://openalex.org/W6610141526"],"related_works":["https://openalex.org/W2317831243","https://openalex.org/W2383644604","https://openalex.org/W2046395214","https://openalex.org/W2040742534","https://openalex.org/W2370357644","https://openalex.org/W2060793043","https://openalex.org/W2791873712","https://openalex.org/W2088283703","https://openalex.org/W2120381889","https://openalex.org/W4289821577"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,26,45,53,57,64,69,73,87,104,110,116,124,130,134,138,152,160,165],"problem":[4],"of":[5,44,56,106,133,155],"fast":[6,99],"and":[7,100,145],"accurate":[8],"chirp":[9,46,66,107,135,156],"signal":[10],"parameter":[11,157],"estimation":[12,75,105,131,158],"in":[13,79,109,159],"fractional":[14,27,111,161],"Fourier":[15,28,112,162],"domains.":[16],"By":[17],"employing":[18],"a":[19,98],"perturbation":[20],"analysis,":[21],"it":[22,49],"is":[23,50,164],"shown":[24,51],"that":[25,52,129,151],"transform":[29],"can":[30,76],"be":[31,77],"used":[32],"as":[33],"an":[34,39],"effective":[35],"tool":[36],"to":[37,92],"yield":[38],"asymptotically":[40],"minimum-variance":[41,166],"unbiased":[42,167],"estimator":[43,60],"parameters.":[47],"Furthermore,":[48],"asymptotic":[54],"performance":[55,132],"fractional-Fourier-transform-based":[58],"chirp-rate":[59,74],"depends":[61],"only":[62,80],"on":[63,115],"actual":[65],"rate,":[67],"not":[68],"initial":[70],"frequency.":[71],"Consequently,":[72,148],"done":[78],"one-dimensional":[81],"search":[82],"space,":[83],"which":[84],"greatly":[85],"reduces":[86],"computational":[88,171],"cost.":[89,172],"In":[90],"order":[91],"validate":[93],"theoretical":[94,125],"outcomes,":[95],"we":[96,149],"propose":[97],"powerful":[101],"method":[102,154],"for":[103,142],"rates":[108],"domains":[113,163],"based":[114],"golden":[117],"section":[118],"search.":[119],"Extensive":[120],"computer":[121],"simulations":[122],"confirm":[123],"results":[126],"by":[127],"demonstrating":[128],"rate":[136],"achieves":[137],"Cramer-Rao":[139],"lower":[140],"bound":[141],"both":[143],"single-":[144],"multicomponent":[146],"chirps.":[147],"assert":[150],"proposed":[153],"estimator,":[168],"requiring":[169],"minimal":[170]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}