{"id":"https://openalex.org/W4403209989","doi":"https://doi.org/10.1109/taes.2024.3476233","title":"Robust CFAR Detection in Heterogeneous Weibull Background via Bayesian Area Interference Control","display_name":"Robust CFAR Detection in Heterogeneous Weibull Background via Bayesian Area Interference Control","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403209989","doi":"https://doi.org/10.1109/taes.2024.3476233"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3476233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3476233","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/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, Hangzhou, China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9678-0085","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","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, Nanjing, China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5081-5537","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","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, Hangzhou, China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9437-2379","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2968-2888"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China","Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2968-2888","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"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, Hangzhou, China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9160-048X","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7105079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"61","issue":"2","first_page":"2516","last_page":"2531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9071000218391418,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9071000218391418,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/bayesian-probability","display_name":"Bayesian probability","score":0.602502703666687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5555734634399414},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5404778718948364},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5347762107849121},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5309813618659973},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.44332268834114075},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4169473350048065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4034357964992523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.370544970035553},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.26606032252311707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24204587936401367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21734482049942017},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1722082495689392}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.602502703666687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5555734634399414},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5404778718948364},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5347762107849121},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5309813618659973},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.44332268834114075},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4169473350048065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4034357964992523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370544970035553},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.26606032252311707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24204587936401367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21734482049942017},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1722082495689392},{"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/taes.2024.3476233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3476233","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":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4266020825","display_name":null,"funder_award_id":"62303109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8010306742","display_name":null,"funder_award_id":"U21A20456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1978971170","https://openalex.org/W1979502360","https://openalex.org/W1980684561","https://openalex.org/W1988520084","https://openalex.org/W2006681603","https://openalex.org/W2029579191","https://openalex.org/W2047417243","https://openalex.org/W2055144697","https://openalex.org/W2062513994","https://openalex.org/W2064988086","https://openalex.org/W2086346113","https://openalex.org/W2098188576","https://openalex.org/W2106340939","https://openalex.org/W2111325602","https://openalex.org/W2115015615","https://openalex.org/W2129228425","https://openalex.org/W2132969796","https://openalex.org/W2140515654","https://openalex.org/W2153742934","https://openalex.org/W2159895908","https://openalex.org/W2237986896","https://openalex.org/W2609219981","https://openalex.org/W2760900215","https://openalex.org/W2782211364","https://openalex.org/W2791735493","https://openalex.org/W2904604400","https://openalex.org/W2944016395","https://openalex.org/W2973292897","https://openalex.org/W2981753322","https://openalex.org/W2985625021","https://openalex.org/W2999936904","https://openalex.org/W3011991656","https://openalex.org/W3114254046","https://openalex.org/W3161335436","https://openalex.org/W3173283069","https://openalex.org/W3200609311","https://openalex.org/W3209372298","https://openalex.org/W4205174150","https://openalex.org/W4288071320","https://openalex.org/W4295788738","https://openalex.org/W4295789705","https://openalex.org/W4309878147","https://openalex.org/W4322730826","https://openalex.org/W4360584650","https://openalex.org/W4367663323","https://openalex.org/W4376467104","https://openalex.org/W4386450131","https://openalex.org/W6769405405"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W2351401443","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2317958419","https://openalex.org/W2116961228","https://openalex.org/W3173283069"],"abstract_inverted_index":{"Constant":[0],"false":[1],"alarm":[2],"rate":[3],"(CFAR)":[4],"detection":[5,53,61,86,95,172],"in":[6,16,48,62,110,146,163,171,177],"heterogeneous":[7,64,112,164],"Weibull":[8,65,113,165],"background":[9,31,41,114],"has":[10],"always":[11],"been":[12],"an":[13],"important":[14],"issue":[15],"the":[17,30,57,63,99,111,120,126,147],"field":[18],"of":[19,29,40,51,59,72,149],"radar":[20],"target":[21],"detection.":[22],"However,":[23],"interference":[24,100,105,132],"effects":[25],"and":[26,37,77,141,158,174],"non-Gaussian":[27],"characteristics":[28],"usually":[32],"lead":[33],"to":[34,90,118,139],"inaccurate":[35],"prediction":[36],"complex":[38],"computation":[39],"level":[42],"for":[43],"existing":[44],"methods,":[45],"which":[46,167],"results":[47],"severe":[49],"degradation":[50],"CFAR":[52,60,69,94,107,134],"performance.":[54],"To":[55],"address":[56],"problem":[58],"background,":[66,166],"two":[67],"robust":[68],"detectors":[70],"capable":[71],"detecting":[73],"multiple":[74],"targets":[75],"accurately":[76],"efficiently":[78],"are":[79,161],"developed.":[80],"Specifically,":[81],"a":[82,92,103,129],"Bayesian":[83,104,130],"predictive":[84],"inference":[85],"model":[87],"is":[88,115,137],"derived":[89],"establish":[91],"standard":[93],"framework.":[96],"Then,":[97],"combining":[98],"control":[101,106,133],"approach,":[102],"(BIC-CFAR)":[108],"detector":[109,136],"proposed.":[116],"Next,":[117],"alleviate":[119],"high":[121],"computational":[122,155,178],"complexity":[123],"faced":[124],"by":[125],"BIC-CFAR":[127],"detector,":[128],"area":[131],"(BAIC-CFAR)":[135],"designed":[138],"predict":[140],"compensate":[142],"interferences":[143],"simultaneously,":[144],"resulting":[145],"improvement":[148,170],"anti-interference":[150],"capability":[151],"while":[152],"dramatically":[153],"reducing":[154],"complexity.":[156],"Simulations":[157],"real-data":[159],"experiments":[160],"conducted":[162],"demonstrates":[168],"10%":[169],"probability":[173],"30%":[175],"reduction":[176],"time.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
