{"id":"https://openalex.org/W3191116640","doi":"https://doi.org/10.1109/lgrs.2021.3094847","title":"GLRT-Based Coherent Detection in Sub-Gaussian Symmetric Alpha-Stable Clutter","display_name":"GLRT-Based Coherent Detection in Sub-Gaussian Symmetric Alpha-Stable Clutter","publication_year":2021,"publication_date":"2021-08-10","ids":{"openalex":"https://openalex.org/W3191116640","doi":"https://doi.org/10.1109/lgrs.2021.3094847","mag":"3191116640"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3094847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3094847","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/A5100331674","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0001-8650-5816"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Liu","raw_affiliation_strings":["Academy of Advanced Interdisciplinary Research, Xidian University, Xi&#x2019;an, China","Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0001-7326-9666"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Du","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072219013","display_name":"Shuwen Xu","orcid":"https://orcid.org/0000-0002-3557-5897"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwen Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100331674"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":7.6631,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96782033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"19","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":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":0.9965999722480774,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/clutter","display_name":"Clutter","score":0.6983919143676758},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5435587763786316},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4825250804424286},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45658770203590393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4506934583187103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4463832378387451},{"id":"https://openalex.org/keywords/kolmogorov\u2013smirnov-test","display_name":"Kolmogorov\u2013Smirnov test","score":0.43509477376937866},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4212586283683777},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.35253453254699707},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34060320258140564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33139926195144653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3036535382270813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27032142877578735},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.1964704990386963},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16544240713119507},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09512877464294434}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6983919143676758},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5435587763786316},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4825250804424286},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45658770203590393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4506934583187103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4463832378387451},{"id":"https://openalex.org/C82581908","wikidata":"https://www.wikidata.org/wiki/Q575766","display_name":"Kolmogorov\u2013Smirnov test","level":3,"score":0.43509477376937866},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4212586283683777},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.35253453254699707},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34060320258140564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33139926195144653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3036535382270813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27032142877578735},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.1964704990386963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16544240713119507},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09512877464294434},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3094847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3094847","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G3476442746","display_name":null,"funder_award_id":"61671354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4417359500","display_name":null,"funder_award_id":"U1833203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5631434781","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1966397731","https://openalex.org/W1991439762","https://openalex.org/W2004681226","https://openalex.org/W2095200402","https://openalex.org/W2101880192","https://openalex.org/W2108349280","https://openalex.org/W2109363365","https://openalex.org/W2109698865","https://openalex.org/W2120542576","https://openalex.org/W2131480555","https://openalex.org/W2169663230","https://openalex.org/W2462840709","https://openalex.org/W2493482596","https://openalex.org/W2804804045","https://openalex.org/W2906712528","https://openalex.org/W2946729819","https://openalex.org/W3019740208","https://openalex.org/W4241055678","https://openalex.org/W4246756383"],"related_works":["https://openalex.org/W2349130075","https://openalex.org/W2083875607","https://openalex.org/W2053476857","https://openalex.org/W2095837902","https://openalex.org/W1483439970","https://openalex.org/W1484384362","https://openalex.org/W2160211488","https://openalex.org/W2336282740","https://openalex.org/W2125412367","https://openalex.org/W2161332412"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,49,112],"generalized":[4],"likelihood":[5],"ratio":[6],"test":[7,140],"(GLRT)-based":[8],"adaptive":[9],"detector":[10,122],"specially":[11],"for":[12],"the":[13,30,55,58,74,81,84,96,120,130,135,139,145,153,157,161,164],"sub-Gaussian":[14],"symmetric":[15],"alpha-stable":[16,64,124],"(SGS":[17],"<inline-formula":[18,37,86,100],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,38,87,101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[20,39,88,102],"<tex-math":[21,40,89,103],"notation=\"LaTeX\">$\\alpha":[22,41,90,104],"\\text{S}$":[23,42,91,105],"</tex-math></inline-formula>":[24,43,92,106],")":[25],"sea":[26],"clutter":[27,65,125],"background.":[28],"Since":[29],"probability":[31],"density":[32],"function":[33],"(PDF)":[34],"of":[35,54,83,98,117,138,144,163],"SGS":[36,85,99],"distribution":[44,93,107],"cannot":[45],"be":[46,109],"expressed":[47,110],"as":[48,111],"closed-form":[50,136],"expression":[51,137],"in":[52,63,115,123,142],"terms":[53,116,143],"elementary":[56],"function,":[57],"research":[59],"on":[60,129,152],"target":[61],"detectors":[62],"background":[66],"is":[67,77,126,147],"very":[68],"limited.":[69],"In":[70],"this":[71],"letter,":[72],"firstly,":[73],"Fox\u2019s":[75],"H-function":[76,146],"adopted":[78],"to":[79],"formulate":[80],"PDF":[82,97],"so":[94],"that":[95],"can":[108],"closed":[113],"form":[114],"H-function.":[118],"Then,":[119],"GLRT-based":[121],"designed":[127],"based":[128,151],"two-step":[131],"GLRT":[132],"criterion":[133],"and":[134,156],"statistics":[141],"given.":[148],"Experimental":[149],"results":[150],"simulated":[154],"data":[155,159],"measured":[158],"verify":[160],"effectiveness":[162],"proposed":[165],"detector.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}