{"id":"https://openalex.org/W3050001899","doi":"https://doi.org/10.1109/taes.2020.3017319","title":"Rank Sum Nonparametric CFAR Detector in Nonhomogeneous Background","display_name":"Rank Sum Nonparametric CFAR Detector in Nonhomogeneous Background","publication_year":2020,"publication_date":"2020-08-19","ids":{"openalex":"https://openalex.org/W3050001899","doi":"https://doi.org/10.1109/taes.2020.3017319","mag":"3050001899"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2020.3017319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.3017319","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/A5101630445","display_name":"Meng Xiangwei","orcid":"https://orcid.org/0000-0003-3922-977X"},"institutions":[{"id":"https://openalex.org/I4210139779","display_name":"Yantai Nanshan University","ror":"https://ror.org/0499b1896","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210139779"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangwei Meng","raw_affiliation_strings":["Yantai Nanshan University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Yantai Nanshan University, Yantai, China","institution_ids":["https://openalex.org/I4210139779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101630445"],"corresponding_institution_ids":["https://openalex.org/I4210139779"],"apc_list":null,"apc_paid":null,"fwci":20.4438,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98736231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"57","issue":"1","first_page":"397","last_page":"403"},"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":0.9980999827384949,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9882000088691711,"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/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.9297336935997009},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8775986433029175},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5875900387763977},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5817129611968994},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4926183819770813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44014400243759155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4294053018093109},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.41477060317993164},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4141005873680115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38655585050582886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3840809166431427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3372308015823364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3216603994369507},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.21721071004867554},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11090487241744995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1051647961139679}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.9297336935997009},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8775986433029175},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5875900387763977},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5817129611968994},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4926183819770813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44014400243759155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4294053018093109},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.41477060317993164},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4141005873680115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38655585050582886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840809166431427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3372308015823364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3216603994369507},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.21721071004867554},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11090487241744995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1051647961139679}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2020.3017319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.3017319","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":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7489109567","display_name":null,"funder_award_id":"61179016","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":20,"referenced_works":["https://openalex.org/W1979845921","https://openalex.org/W1981587392","https://openalex.org/W2036486974","https://openalex.org/W2037728158","https://openalex.org/W2061135064","https://openalex.org/W2075862372","https://openalex.org/W2087847641","https://openalex.org/W2106340939","https://openalex.org/W2140515654","https://openalex.org/W2158424514","https://openalex.org/W2320459524","https://openalex.org/W2416657781","https://openalex.org/W2593173044","https://openalex.org/W2765888836","https://openalex.org/W2791735493","https://openalex.org/W2979691948","https://openalex.org/W3033425141","https://openalex.org/W4210360983","https://openalex.org/W6716458593","https://openalex.org/W6779404986"],"related_works":["https://openalex.org/W2353511160","https://openalex.org/W3142490657","https://openalex.org/W2355250096","https://openalex.org/W2386884800","https://openalex.org/W2006749020","https://openalex.org/W1985570993","https://openalex.org/W1986386343","https://openalex.org/W2391234655","https://openalex.org/W2535165794","https://openalex.org/W2183463166"],"abstract_inverted_index":{"The":[0,20],"parametric":[1],"CFAR":[2,60],"detectors":[3],"maintain":[4,59],"a":[5,15,68,89],"constant":[6],"false":[7,76],"alarm":[8,77],"rate":[9,78],"(CFAR)":[10],"with":[11,116],"an":[12,54],"assumption":[13],"of":[14,23,65,74,91,94,108],"known":[16],"clutter":[17,66,84,104],"distribution":[18,63],"form.":[19],"representative":[21],"ones":[22],"them":[24],"are":[25],"the":[26,30,35,46,62,75,80,92,95,109,111,114],"cell-averaging":[27],"(CA)":[28],"CFAR,":[29,33,39,51],"greatest-of":[31],"(GO)":[32],"and":[34,88,102,113],"ordered":[36],"statistic":[37],"(OS)":[38],"etc.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"consider":[45],"rank":[47],"sum":[48],"(RS)":[49],"nonparametric":[50],"which":[52],"has":[53],"advantage":[55],"that":[56,107],"it":[57],"can":[58],"even":[61],"form":[64,73],"becomes":[67],"different":[69],"one.":[70],"A":[71],"closed":[72],"for":[79],"RS":[81,96],"detector":[82,97],"at":[83,103],"edges":[85,105],"is":[86,119],"derived,":[87],"comparison":[90],"performance":[93],"in":[98],"multiple":[99],"targets":[100],"situation":[101],"to":[106],"CA-CFAR,":[110],"GO-CFAR,":[112],"OS-CFAR":[115],"noncoherent":[117],"integration":[118],"made.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
