{"id":"https://openalex.org/W4386450131","doi":"https://doi.org/10.1109/iccc57788.2023.10233537","title":"Bayesian CFAR Detector in Weibull Clutter via Interference Control","display_name":"Bayesian CFAR Detector in Weibull Clutter via Interference Control","publication_year":2023,"publication_date":"2023-08-10","ids":{"openalex":"https://openalex.org/W4386450131","doi":"https://doi.org/10.1109/iccc57788.2023.10233537"},"language":"en","primary_location":{"id":"doi:10.1109/iccc57788.2023.10233537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc57788.2023.10233537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061386321","display_name":"Xinchao Zhu","orcid":"https://orcid.org/0000-0002-9678-0085"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchao Zhu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012567101","display_name":"Chaoqun Yang","orcid":"https://orcid.org/0000-0002-5081-5537"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqun Yang","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China,210092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China,210092","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087125783","display_name":"Chengwei Zhou","orcid":"https://orcid.org/0000-0002-9437-2379"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Zhou","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041940889","display_name":"Zhiguo Shi","orcid":"https://orcid.org/0000-0001-9160-048X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Shi","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.8680964708328247},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8638350963592529},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7080942988395691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381154656410217},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5909730792045593},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5793429613113403},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5666577219963074},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5652846693992615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4144333600997925},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3665027320384979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3491067886352539},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2055342197418213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.171331524848938},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1259341537952423}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.8680964708328247},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8638350963592529},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7080942988395691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381154656410217},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5909730792045593},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5793429613113403},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5666577219963074},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5652846693992615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4144333600997925},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3665027320384979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3491067886352539},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2055342197418213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.171331524848938},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1259341537952423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc57788.2023.10233537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc57788.2023.10233537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1801277269","https://openalex.org/W1980684561","https://openalex.org/W2086346113","https://openalex.org/W2115015615","https://openalex.org/W2140515654","https://openalex.org/W2153742934","https://openalex.org/W2593173044","https://openalex.org/W2620942138","https://openalex.org/W2791735493","https://openalex.org/W2944016395","https://openalex.org/W2985625021","https://openalex.org/W2999811696","https://openalex.org/W2999936904","https://openalex.org/W3048785089","https://openalex.org/W3082993992","https://openalex.org/W3127590541","https://openalex.org/W3161335436","https://openalex.org/W3184412645","https://openalex.org/W3200609311","https://openalex.org/W4224931663","https://openalex.org/W4285266360","https://openalex.org/W4292862193","https://openalex.org/W4312361655","https://openalex.org/W4318624526","https://openalex.org/W4322730826","https://openalex.org/W4360584650","https://openalex.org/W4367663323","https://openalex.org/W4381300308"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3173283069"],"abstract_inverted_index":{"Bayesian":[0,65,87],"predictive":[1],"inference":[2],"plays":[3],"an":[4,17,41],"important":[5],"role":[6],"in":[7,27,50,61,95,101,122],"radar":[8],"constant":[9],"false":[10],"alarm":[11],"rate":[12],"(CFAR)":[13],"detection,":[14],"which":[15,85,111],"produces":[16],"adaptive":[18],"target":[19],"detection":[20,54,59,90,114],"model":[21,91],"to":[22,40],"achieve":[23],"CFAR":[24,66],"detection.":[25],"However,":[26],"the":[28,35,45,58,86,96,99,102,113,120,128,131],"context":[29],"of":[30,44,119,130],"heterogeneous":[31,62,123],"Weibull":[32,75],"clutter":[33,47,103],"environments,":[34,63],"interference":[36,70,88],"effect":[37],"may":[38],"lead":[39],"imprecise":[42],"prediction":[43],"background":[46,76],"level,":[48],"resulting":[49],"a":[51,64],"severely":[52],"degraded":[53],"performance.":[55],"To":[56],"enhance":[57],"performance":[60,115],"detector":[67,121],"based":[68,83],"on":[69,84],"control":[71,89],"is":[72,81,92],"proposed.":[73],"The":[74],"with":[77],"known":[78],"shape":[79],"parameters":[80],"analyzed,":[82],"established.":[93],"Furthermore,":[94],"proposed":[97,132],"detector,":[98],"interferences":[100],"range":[104],"profile":[105],"can":[106],"be":[107],"predicted":[108],"and":[109,116],"compensated,":[110],"improves":[112],"anti-interference":[117],"ability":[118],"environments.":[124],"Simulation":[125],"results":[126],"verify":[127],"effectiveness":[129],"detector.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}