{"id":"https://openalex.org/W3181284887","doi":"https://doi.org/10.1109/tsp.2022.3205761","title":"A Unified Theory of Adaptive Subspace Detection Part I: Detector Designs","display_name":"A Unified Theory of Adaptive Subspace Detection Part I: Detector Designs","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3181284887","doi":"https://doi.org/10.1109/tsp.2022.3205761","mag":"3181284887"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3205761","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3205761","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/09887896.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/09887896.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044520390","display_name":"Danilo Orlando","orcid":"https://orcid.org/0000-0001-8630-8505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danilo Orlando","raw_affiliation_strings":["Università degli Studi “Niccolò Cusano”, Roma, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8630-8505","affiliations":[{"raw_affiliation_string":"Università degli Studi “Niccolò Cusano”, Roma, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006695338","display_name":"Giuseppe Ricci","orcid":"https://orcid.org/0000-0002-0871-7618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe Ricci","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Lecce, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0871-7618","affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Lecce, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080469112","display_name":"Louis L. Scharf","orcid":"https://orcid.org/0000-0003-1764-9335"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis L. Scharf","raw_affiliation_strings":["Departments of Mathematics and Statistics, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":"https://orcid.org/0000-0003-1764-9335","affiliations":[{"raw_affiliation_string":"Departments of Mathematics and Statistics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.2607,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98644596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"4925","last_page":"4938"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8348909616470337},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6780122518539429},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6196724772453308},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.569162905216217},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5659892559051514},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5653275847434998},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5488548278808594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5084378123283386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48420026898384094},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4747222661972046},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4484651982784271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.419014036655426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40979963541030884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32038092613220215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19353258609771729},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11236116290092468},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10057607293128967}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8348909616470337},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6780122518539429},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6196724772453308},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.569162905216217},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5659892559051514},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5653275847434998},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5488548278808594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5084378123283386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48420026898384094},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4747222661972046},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4484651982784271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.419014036655426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40979963541030884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32038092613220215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19353258609771729},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11236116290092468},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10057607293128967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2022.3205761","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3205761","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/09887896.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2107.02235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.02235","pdf_url":"https://arxiv.org/pdf/2107.02235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arpi.unipi.it:11568/1272489","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1272489","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":{"id":"doi:10.1109/tsp.2022.3205761","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3205761","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/09887896.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8938627179","display_name":null,"funder_award_id":"N00014-21-1-2145","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3181284887.pdf","grobid_xml":"https://content.openalex.org/works/W3181284887.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W107391747","https://openalex.org/W391578156","https://openalex.org/W653761051","https://openalex.org/W1426280032","https://openalex.org/W1536252645","https://openalex.org/W1578953027","https://openalex.org/W1663612341","https://openalex.org/W1973176871","https://openalex.org/W1986921156","https://openalex.org/W2012322974","https://openalex.org/W2023728433","https://openalex.org/W2029415566","https://openalex.org/W2054877413","https://openalex.org/W2093092771","https://openalex.org/W2096972831","https://openalex.org/W2106199973","https://openalex.org/W2107358047","https://openalex.org/W2107470042","https://openalex.org/W2107820823","https://openalex.org/W2120350343","https://openalex.org/W2125341398","https://openalex.org/W2135430906","https://openalex.org/W2135554559","https://openalex.org/W2142517930","https://openalex.org/W2144158572","https://openalex.org/W2155719065","https://openalex.org/W2162623024","https://openalex.org/W2168703653","https://openalex.org/W2283644562","https://openalex.org/W2475771804","https://openalex.org/W2558756740","https://openalex.org/W2963725877","https://openalex.org/W3084266373","https://openalex.org/W4205733750","https://openalex.org/W4213251304","https://openalex.org/W4299448626","https://openalex.org/W6604348398","https://openalex.org/W6637201377"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,71,85],"problem":[4],"of":[5,12,22,26,36,117,126],"detecting":[6],"multidimensional":[7],"subspace":[8,67,72,86,119],"signals":[9],"in":[10,43,104],"noise":[11],"unknown":[13],"covariance.":[14],"It":[15],"is":[16,30,65],"assumed":[17],"that":[18],"a":[19,33,48,54,66,96,114],"primary":[20,122],"channel":[21,35],"measurements,":[23],"possibly":[24],"consisting":[25],"signal":[27,63],"plus":[28],"noise,":[29],"augmented":[31],"with":[32,69,109],"secondary":[34,124],"measurements":[37],"containing":[38],"only":[39,78],"noise.":[40],"The":[41,62,99],"noises":[42],"these":[44],"two":[45],"channels":[46,125],"share":[47],"common":[49],"covariance":[50],"matrix,":[51],"up":[52],"to":[53,84],"scale,":[55],"which":[56],"may":[57,73,87,92],"be":[58,74,88,93],"known":[59,75,77],"or":[60,76,90],"unknown.":[61],"model":[64,68],"variations:":[70],"by":[79,95],"its":[80],"dimension;":[81],"consecutive":[82],"visits":[83],"unconstrained":[89],"they":[91],"constrained":[94],"prior":[97],"distribution.":[98],"several":[100],"original":[101],"detectors":[102],"derived":[103],"this":[105],"paper,":[106],"when":[107],"organized":[108],"previously":[110],"published":[111],"detectors,":[112],"comprise":[113],"unified":[115],"theory":[116],"adaptive":[118],"detection":[120],"from":[121],"and":[123],"measurements.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}