{"id":"https://openalex.org/W2906569673","doi":"https://doi.org/10.1109/lgrs.2018.2885451","title":"CA-CFAR Detection Performance in Homogeneous Weibull Clutter","display_name":"CA-CFAR Detection Performance in Homogeneous Weibull Clutter","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2906569673","doi":"https://doi.org/10.1109/lgrs.2018.2885451","mag":"2906569673"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2885451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2885451","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5087614736","display_name":"Fernando Dar\u00edo Almeida Garc\u00eda","orcid":"https://orcid.org/0000-0003-3747-1511"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Fernando Dario Almeida Garcia","raw_affiliation_strings":["Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3747-1511","affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047125964","display_name":"Andrea Flores","orcid":"https://orcid.org/0000-0001-7018-1116"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andrea Carolina Flores Rodriguez","raw_affiliation_strings":["Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7018-1116","affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068648984","display_name":"Gustavo Fraidenraich","orcid":"https://orcid.org/0000-0002-0517-1496"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Fraidenraich","raw_affiliation_strings":["Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0517-1496","affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040525043","display_name":"Jos\u00e9 C\u00e2ndido Silveira Santos Filho","orcid":"https://orcid.org/0000-0002-0106-1548"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Candido S. Santos Filho","raw_affiliation_strings":["Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0106-1548","affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087614736"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":58.9652,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99729329,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"887","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.964900016784668,"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/clutter","display_name":"Clutter","score":0.9179248809814453},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.880319356918335},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.8118786811828613},{"id":"https://openalex.org/keywords/shape-parameter","display_name":"Shape parameter","score":0.6266664862632751},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.626096248626709},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5756310820579529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5720670819282532},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.5590617656707764},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.518346905708313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5088391900062561},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43515220284461975},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.42550987005233765},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.4127180874347687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40508925914764404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38832804560661316},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09889379143714905}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9179248809814453},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.880319356918335},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.8118786811828613},{"id":"https://openalex.org/C199435849","wikidata":"https://www.wikidata.org/wiki/Q3179293","display_name":"Shape parameter","level":2,"score":0.6266664862632751},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.626096248626709},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5756310820579529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5720670819282532},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.5590617656707764},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.518346905708313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5088391900062561},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43515220284461975},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.42550987005233765},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.4127180874347687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40508925914764404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38832804560661316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09889379143714905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2885451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2885451","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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":23,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1963520488","https://openalex.org/W1965078846","https://openalex.org/W1993907907","https://openalex.org/W2026464713","https://openalex.org/W2030498845","https://openalex.org/W2072192031","https://openalex.org/W2075862372","https://openalex.org/W2091696547","https://openalex.org/W2093147326","https://openalex.org/W2106340939","https://openalex.org/W2108474513","https://openalex.org/W2114810571","https://openalex.org/W2140515654","https://openalex.org/W2156163297","https://openalex.org/W2171651710","https://openalex.org/W2319383592","https://openalex.org/W2475771804","https://openalex.org/W2789778358","https://openalex.org/W2800203552","https://openalex.org/W3016843226","https://openalex.org/W3142517368","https://openalex.org/W4299578957"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W2115015615"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,14,24,31,97,142],"novel":[4,54],"and":[5,38,62,99,103,137],"exact":[6,81],"formulation":[7],"for":[8,57,93],"the":[9,42,47,58,63,68,126,134,146,150,156],"probability":[10,59],"of":[11,13,67,70,87,111,149],"detection":[12,158],"cell-averaging,":[15],"constant":[16],"false-alarm":[17],"rate":[18],"(CFAR)":[19],"radar":[20,48,157],"system":[21],"operating":[22],"in":[23,76,85,145],"homogeneous":[25],"Weibull":[26,77],"clutter":[27,39,151],"environment.":[28],"We":[29],"consider":[30],"realistic":[32],"scenario":[33],"with":[34,125],"both":[35],"target":[36,74],"returns":[37],"residues":[40],"within":[41],"cell":[43],"under":[44],"test":[45],"by":[46],"processing.":[49],"In":[50],"passing,":[51],"we":[52,95],"derive":[53],"closed-form":[55],"expressions":[56,82,113],"density":[60],"function":[61,66],"cumulative":[64],"distribution":[65,152],"sum":[69],"an":[71],"exponentially":[72],"fluctuating":[73],"embedded":[75],"clutter.":[78],"The":[79,109,120],"derived":[80,121],"are":[83,123],"given":[84],"terms":[86],"both:":[88],"1)":[89],"bivariate":[90],"Fox":[91],"H-function,":[92],"which":[94],"provide":[96],"portable":[98],"efficient":[100],"MATHEMATICA":[101],"code":[102],"2)":[104],"easily":[105],"computable":[106],"series":[107],"representations.":[108],"validity":[110],"all":[112],"is":[114],"confirmed":[115],"via":[116],"Monte":[117],"Carlo":[118],"simulation.":[119],"results":[122],"compared":[124],"idealized":[127],"Neyman-Pearson":[128],"detector":[129],"so":[130],"as":[131],"to":[132],"quantify":[133],"CFAR":[135],"losses,":[136],"they":[138],"indicate":[139],"that":[140],"even":[141],"small":[143],"change":[144],"shape":[147],"parameter":[148],"can":[153],"significantly":[154],"affect":[155],"performance.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
