{"id":"https://openalex.org/W4411472029","doi":"https://doi.org/10.1109/taes.2025.3581896","title":"A Neural Network-Assisted GLRT Detection Algorithm for Range-Spread Target","display_name":"A Neural Network-Assisted GLRT Detection Algorithm for Range-Spread Target","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411472029","doi":"https://doi.org/10.1109/taes.2025.3581896"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2025.3581896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3581896","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/A5107935473","display_name":"Yuhang Zhu","orcid":null},"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":"Yuhang Zhu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073214747","display_name":"Hongtao Su","orcid":"https://orcid.org/0000-0001-7524-2184"},"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":"Hongtao Su","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053288028","display_name":"Xinchen Jing","orcid":"https://orcid.org/0000-0002-7317-8112"},"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":"Xinchen Jing","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051365835","display_name":"Ruixing Yang","orcid":null},"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":"Ruixing Yang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107935473"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15431033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14158","display_name":"Optical Systems and Laser Technology","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574151337146759},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.560089111328125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5241615772247314},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5133230090141296},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.43771106004714966},{"id":"https://openalex.org/keywords/target-range","display_name":"Target range","score":0.4122641682624817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32380908727645874},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.252702534198761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19819918274879456},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19182142615318298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574151337146759},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.560089111328125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5241615772247314},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5133230090141296},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.43771106004714966},{"id":"https://openalex.org/C3019316490","wikidata":"https://www.wikidata.org/wiki/Q7685903","display_name":"Target range","level":2,"score":0.4122641682624817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32380908727645874},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.252702534198761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19819918274879456},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19182142615318298},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2025.3581896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3581896","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2066060628","https://openalex.org/W2151190231","https://openalex.org/W2056860554","https://openalex.org/W2488001802","https://openalex.org/W2031315091","https://openalex.org/W762323262","https://openalex.org/W3044310553","https://openalex.org/W2161193699","https://openalex.org/W2476601007","https://openalex.org/W3033730920"],"abstract_inverted_index":{"The":[0,49],"range-spread":[1,106],"target":[2,14,77,98,107,166,173],"detection":[3],"problem":[4],"typically":[5],"faces":[6],"uncertainty":[7],"in":[8,57,105,133],"the":[9,21,29,33,58,115,128,143,153,169,176,190,199,209,222,230],"number":[10],"and":[11,39,45,99],"locations":[12],"of":[13,23,36,51,60,66,82,118,130,146,171,193,208,212],"scattering":[15],"centers":[16],"(TSCs),":[17],"which":[18],"severely":[19],"limits":[20],"performance":[22,50,162,227],"traditional":[24,231],"algorithms.":[25],"Conventional":[26],"methods":[27,140],"estimate":[28],"TSCs":[30,124,210],"based":[31,113,197],"on":[32,42,114,198],"energy":[34,211],"information":[35,104],"echo":[37,73,86,119],"signals":[38,74,87,120,167,174],"heavily":[40],"rely":[41],"certain":[43],"assumptions":[44],"specific":[46],"prior":[47,68],"knowledge.":[48],"these":[52],"algorithms":[53],"may":[54,101,159],"degrade":[55],"significantly":[56],"presence":[59,132],"assumption":[61],"mismatches":[62],"or":[63],"a":[64,110],"lack":[65],"required":[67],"information.":[69],"In":[70,137],"practical":[71],"applications,":[72],"from":[75,88],"one":[76],"shall":[78],"exhibit":[79],"some":[80],"aspects":[81],"correlation,":[83],"while":[84],"clutter":[85,100],"different":[89],"range":[90,135,149,195,214],"cells":[91,150,215],"are":[92],"independent.":[93],"This":[94,157,202],"distinct":[95],"characteristic":[96],"between":[97],"offer":[102],"extra":[103],"detection.":[108],"Therefore,":[109],"neural":[111],"network":[112],"intrinsic":[116],"features":[117],"is":[121],"proposed":[122,223],"for":[123],"estimation":[125],"by":[126],"outputting":[127],"probability":[129],"TSC":[131],"each":[134,194],"cell.":[136],"addition,":[138],"conventional":[139],"directly":[141],"sum":[142],"test":[144,155,178,191],"statistics":[145,192],"estimated":[147],"TSC-present":[148],"to":[151,161,175,186,189],"form":[152],"final":[154],"statistic.":[156,179],"approach":[158,203],"lead":[160],"degradation,":[163],"as":[164],"weak":[165],"diminish":[168],"contribution":[170],"strong":[172],"integrated":[177],"To":[180],"address":[181],"this":[182],"limitation,":[183],"we":[184],"propose":[185],"assign":[187],"weights":[188],"cell":[196],"predicted":[200],"probability.":[201],"enables":[204],"more":[205],"effective":[206],"integration":[207],"all":[213],"under":[216],"test.":[217],"Simulation":[218],"experiments":[219],"demonstrate":[220],"that":[221],"algorithm":[224],"achieves":[225],"substantial":[226],"improvements":[228],"over":[229],"methods.":[232]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
