{"id":"https://openalex.org/W2760358621","doi":"https://doi.org/10.1109/lsp.2017.2756076","title":"Adaptive Detection and Range Estimation of Point-Like Targets With Symmetric Spectrum","display_name":"Adaptive Detection and Range Estimation of Point-Like Targets With Symmetric Spectrum","publication_year":2017,"publication_date":"2017-09-25","ids":{"openalex":"https://openalex.org/W2760358621","doi":"https://doi.org/10.1109/lsp.2017.2756076","mag":"2760358621"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2756076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2756076","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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/A5082998836","display_name":"Shefeng Yan","orcid":"https://orcid.org/0000-0002-4886-8269"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shefeng Yan","raw_affiliation_strings":["Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022288055","display_name":"Davide Massaro","orcid":"https://orcid.org/0000-0002-4511-6897"},"institutions":[{"id":"https://openalex.org/I4210119751","display_name":"Maniero Elettronica (Italy)","ror":"https://ror.org/032cxyf89","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210119751"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Massaro","raw_affiliation_strings":["ELETTRONICA S.p.A., Roma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ELETTRONICA S.p.A., Roma, Italy","institution_ids":["https://openalex.org/I4210119751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044520390","display_name":"Danilo Orlando","orcid":"https://orcid.org/0000-0001-8630-8505"},"institutions":[{"id":"https://openalex.org/I4210124295","display_name":"University Niccol\u00f2 Cusano","ror":"https://ror.org/032c3ae16","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210124295"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Orlando","raw_affiliation_strings":["Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano,\u201d, Romam, Italy","Universit\u00e0 degli Studi \"Niccol\u00f2 Cusano,\", Romam, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8630-8505","affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano,\u201d, Romam, Italy","institution_ids":["https://openalex.org/I4210124295"]},{"raw_affiliation_string":"Universit\u00e0 degli Studi \"Niccol\u00f2 Cusano,\", Romam, Italy","institution_ids":["https://openalex.org/I4210124295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353504","display_name":"Chengpeng Hao","orcid":"https://orcid.org/0000-0001-9643-1099"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpeng Hao","raw_affiliation_strings":["Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9643-1099","affiliations":[{"raw_affiliation_string":"Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045179998","display_name":"Alfonso Farina","orcid":"https://orcid.org/0000-0003-3247-2427"},"institutions":[{"id":"https://openalex.org/I76806421","display_name":"SELEX Sistemi Integrati","ror":"https://ror.org/02sj0zy88","country_code":"IT","type":"company","lineage":["https://openalex.org/I76806421"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfonso Farina","raw_affiliation_strings":["Selex-ES, Roma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Selex-ES, Roma, Italy","institution_ids":["https://openalex.org/I76806421"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082998836"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"],"apc_list":null,"apc_paid":null,"fwci":13.0406,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.98261474,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"11","first_page":"1744","last_page":"1748"},"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":0.9988999962806702,"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":0.9830999970436096,"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/clutter","display_name":"Clutter","score":0.8984739780426025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105586528778076},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6140638589859009},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5129603743553162},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5119642019271851},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.5031244158744812},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4994511604309082},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4945959746837616},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4851840138435364},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.4831082820892334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4452117681503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4370049238204956},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4135439991950989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34675297141075134},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.3273824453353882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2205578088760376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15723538398742676},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1229606568813324},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11632686853408813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08671608567237854}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8984739780426025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105586528778076},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6140638589859009},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5129603743553162},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5119642019271851},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.5031244158744812},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4994511604309082},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4945959746837616},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4851840138435364},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.4831082820892334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4452117681503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4370049238204956},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4135439991950989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34675297141075134},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.3273824453353882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2205578088760376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15723538398742676},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1229606568813324},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11632686853408813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08671608567237854},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2017.2756076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2756076","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1270529","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1270529","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5270610915","display_name":null,"funder_award_id":"61571434","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1594866568","https://openalex.org/W1886630596","https://openalex.org/W1966397731","https://openalex.org/W1986921156","https://openalex.org/W1990454509","https://openalex.org/W2013438974","https://openalex.org/W2020057360","https://openalex.org/W2024275106","https://openalex.org/W2042881543","https://openalex.org/W2055144697","https://openalex.org/W2063677402","https://openalex.org/W2066762715","https://openalex.org/W2068989375","https://openalex.org/W2069215735","https://openalex.org/W2076660936","https://openalex.org/W2087527144","https://openalex.org/W2088265797","https://openalex.org/W2091489596","https://openalex.org/W2106999806","https://openalex.org/W2108400150","https://openalex.org/W2118896231","https://openalex.org/W2123776775","https://openalex.org/W2131480555","https://openalex.org/W2137102213","https://openalex.org/W2141154209","https://openalex.org/W2144158572","https://openalex.org/W2159376318","https://openalex.org/W2247802672","https://openalex.org/W2326234545","https://openalex.org/W2411873231","https://openalex.org/W2475771804","https://openalex.org/W2493482596","https://openalex.org/W2512311144","https://openalex.org/W2587546714","https://openalex.org/W4299448626"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3173283069"],"abstract_inverted_index":{"In":[0],"this":[1,20],"letter,":[2],"we":[3,22],"address":[4],"adaptive":[5],"radar":[6],"detection":[7,66],"of":[8,31,47,63,86],"point-like":[9],"targets":[10],"in":[11],"Gaussian":[12],"clutter":[13,33,100],"with":[14,59,92],"an":[15],"unknown":[16],"covariance":[17],"matrix.":[18],"To":[19],"end,":[21],"first":[23],"exploit":[24],"the":[25,32,38,41,45,53,84,87,93,99,104],"symmetrically":[26],"structured":[27],"power":[28],"spectral":[29,101],"density":[30],"to":[34,40,56],"transfer":[35],"data":[36,78],"from":[37],"complex":[39],"real":[42,80],"domain.":[43],"Then,":[44],"spillover":[46],"target":[48],"energy":[49,105],"is":[50],"incorporated":[51],"into":[52],"design":[54],"criteria":[55],"come":[57],"up":[58],"two":[60],"architectures":[61],"capable":[62],"guaranteeing":[64],"improved":[65],"performances":[67],"and":[68,79],"range":[69],"estimation.":[70],"The":[71],"performance":[72],"assessments,":[73],"conducted":[74],"on":[75],"both":[76],"simulated":[77],"recorded":[81],"datasets,":[82],"demonstrate":[83],"effectiveness":[85],"newly":[88],"proposed":[89],"detectors":[90],"compared":[91],"state-of-the-art":[94],"counterparts,":[95],"which":[96],"ignore":[97],"either":[98],"symmetry":[102],"or":[103],"spillover.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2017-10-06T00:00:00"}