{"id":"https://openalex.org/W4295788738","doi":"https://doi.org/10.1109/tgrs.2022.3205737","title":"Robust Sliding Window CFAR Detection Based on Quantile Truncated Statistics","display_name":"Robust Sliding Window CFAR Detection Based on Quantile Truncated Statistics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295788738","doi":"https://doi.org/10.1109/tgrs.2022.3205737"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3205737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3205737","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5057846327","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-5077-3800"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5077-3800","affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036792699","display_name":"Junhao Xie","orcid":"https://orcid.org/0000-0002-1935-1842"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Xie","raw_affiliation_strings":["Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1935-1842","affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042449847","display_name":"Xingxing Liao","orcid":"https://orcid.org/0000-0003-0672-8791"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Liao","raw_affiliation_strings":["Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-0672-8791","affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007559788","display_name":"Chang Sun","orcid":"https://orcid.org/0000-0001-8325-8848"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Sun","raw_affiliation_strings":["Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Monitoring and Information Processing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057846327"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":8.9243,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97033482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"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":0.9997000098228455,"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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9983999729156494,"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":0.9977999925613403,"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/weibull-distribution","display_name":"Weibull distribution","score":0.7358795404434204},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7090608477592468},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6486813426017761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6214067339897156},{"id":"https://openalex.org/keywords/shape-parameter","display_name":"Shape parameter","score":0.6173299551010132},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6041806936264038},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5640982389450073},{"id":"https://openalex.org/keywords/scale-parameter","display_name":"Scale parameter","score":0.5364627838134766},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46663886308670044},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.4656409025192261},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4593818783760071},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.43974146246910095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42572927474975586},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.41775551438331604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3524235486984253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2993601858615875},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.24980130791664124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22266912460327148},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09915778040885925}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7358795404434204},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7090608477592468},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6486813426017761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6214067339897156},{"id":"https://openalex.org/C199435849","wikidata":"https://www.wikidata.org/wiki/Q3179293","display_name":"Shape parameter","level":2,"score":0.6173299551010132},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6041806936264038},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5640982389450073},{"id":"https://openalex.org/C91716921","wikidata":"https://www.wikidata.org/wiki/Q1289366","display_name":"Scale parameter","level":2,"score":0.5364627838134766},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46663886308670044},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.4656409025192261},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4593818783760071},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.43974146246910095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42572927474975586},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.41775551438331604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3524235486984253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2993601858615875},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.24980130791664124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22266912460327148},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09915778040885925},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3205737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3205737","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6126170064","display_name":null,"funder_award_id":"2022001","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":39,"referenced_works":["https://openalex.org/W1721934561","https://openalex.org/W1923947552","https://openalex.org/W2016167794","https://openalex.org/W2040181733","https://openalex.org/W2044088826","https://openalex.org/W2086346113","https://openalex.org/W2087728885","https://openalex.org/W2115015615","https://openalex.org/W2129228425","https://openalex.org/W2140515654","https://openalex.org/W2153742934","https://openalex.org/W2156019871","https://openalex.org/W2156650489","https://openalex.org/W2159144180","https://openalex.org/W2159895908","https://openalex.org/W2324539079","https://openalex.org/W2551452772","https://openalex.org/W2593173044","https://openalex.org/W2620942138","https://openalex.org/W2745913447","https://openalex.org/W2760900215","https://openalex.org/W2791735493","https://openalex.org/W2886353461","https://openalex.org/W2889700044","https://openalex.org/W2942150053","https://openalex.org/W2973639368","https://openalex.org/W2992756490","https://openalex.org/W2999936904","https://openalex.org/W3011415554","https://openalex.org/W3030931157","https://openalex.org/W3113221786","https://openalex.org/W3119312984","https://openalex.org/W3147919432","https://openalex.org/W3157721462","https://openalex.org/W3161335436","https://openalex.org/W3174900207","https://openalex.org/W4210360983","https://openalex.org/W4244369233","https://openalex.org/W4250613922"],"related_works":["https://openalex.org/W4213341477","https://openalex.org/W2901168034","https://openalex.org/W2065310190","https://openalex.org/W2044572677","https://openalex.org/W3156666426","https://openalex.org/W2979874108","https://openalex.org/W2886353461","https://openalex.org/W1993699363","https://openalex.org/W4310792399","https://openalex.org/W4295788738"],"abstract_inverted_index":{"In":[0,45],"this":[1,124],"paper,":[2],"the":[3,13,37,55,65,72,82,85,92,100,116,126,144,156,204,212,223,228,232],"concept":[4],"of":[5,32,39,99,143,151,167,206,225],"quantile":[6,19],"is":[7,23,61,75,88,107,138,209],"introduced":[8],"and":[9,35,43,77,94,148,169,195],"elaborately":[10],"related":[11],"to":[12,81],"truncation":[14,33,40],"depth,":[15],"based":[16,50,118,133],"on":[17,51,119,134],"which":[18],"truncated":[20,120],"statistics":[21,121],"(QTS)":[22],"put":[24],"forward.":[25],"The":[26,140,163],"QTS":[27,52],"gives":[28],"a":[29],"reasonable":[30],"explanation":[31],"depth":[34,41],"makes":[36],"selection":[38],"well-founded":[42],"controllable.":[44],"addition,":[46],"maximum":[47],"likelihood":[48],"estimation":[49,113],"(QTS-MLE)":[53],"for":[54,227],"probability":[56,150],"density":[57],"function":[58],"(PDF)":[59],"parameters":[60,102],"derived.":[62],"We":[63],"start":[64],"analysis":[66],"from":[67],"Weibull":[68,104,157,173],"background":[69,158,174],"assuming":[70],"that":[71,109,188],"shape":[73,86,161,177],"parameter":[74,87,178,230],"known,":[76],"then":[78],"extend":[79],"it":[80,106],"case":[83],"where":[84],"unknown.":[89],"By":[90],"analyzing":[91],"variance":[93],"mean":[95],"square":[96],"error":[97],"(MSE)":[98],"estimated":[101],"in":[103,172,200,231],"background,":[105],"found":[108],"QTS-MLE":[110,226],"has":[111,191],"better":[112,192],"performance":[114,194],"than":[115],"MLE":[117],"(TS-MLE).":[122],"On":[123],"basis,":[125],"constant":[127],"false":[128,145,196],"alarm":[129,146,197],"rate":[130,147],"(CFAR)":[131],"detector":[132,190,208],"QTS-MLE,":[135],"i.e.":[136],"QTS-CFAR,":[137],"proposed.":[139],"analytic":[141],"expressions":[142],"detection":[149],"QTS-CFAR":[152,170,189,207],"are":[153,179],"derived":[154],"under":[155],"with":[159,175],"known":[160],"parameter.":[162],"full":[164],"CFAR":[165],"characteristics":[166],"TS-":[168],"detectors":[171],"unknown":[176],"proved":[180],"by":[181,211,216],"invariant":[182],"theory.":[183],"Monte":[184],"Carlo":[185],"simulations":[186],"show":[187],"anti-interference":[193],"control":[198],"ability":[199],"multiple-target":[201],"environment.":[202],"Furthermore,":[203],"superiority":[205],"verified":[210],"real":[213],"data":[214],"collected":[215],"skywave":[217],"over-the-horizon":[218],"radar.":[219],"Finally,":[220],"we":[221],"present":[222],"expression":[224],"scale":[229],"Gamma":[233],"background.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
