{"id":"https://openalex.org/W2729451695","doi":"https://doi.org/10.1109/tsp.2017.2723340","title":"Passive Detection of Correlated Subspace Signals in Two MIMO Channels","display_name":"Passive Detection of Correlated Subspace Signals in Two MIMO Channels","publication_year":2017,"publication_date":"2017-07-04","ids":{"openalex":"https://openalex.org/W2729451695","doi":"https://doi.org/10.1109/tsp.2017.2723340","mag":"2729451695"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2723340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2723340","pdf_url":null,"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":["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/A5059078809","display_name":"Ignacio Santamar\u0131\u0301a","orcid":"https://orcid.org/0000-0003-0040-7436"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ignacio Santamaria","raw_affiliation_strings":["Department of Communications Engineering, University of Cantabria, Santander, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Cantabria, Santander, Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"middle","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":["Department of Mathematics, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071269640","display_name":"Javier V\u00eda","orcid":"https://orcid.org/0000-0001-7853-0069"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Via","raw_affiliation_strings":["Department of Communications Engineering, University of Cantabria, Santander, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Cantabria, Santander, Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342610","display_name":"Haonan Wang","orcid":"https://orcid.org/0000-0003-1587-8628"},"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":"Haonan Wang","raw_affiliation_strings":["Department of Statistics, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344848","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-4038-8797"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Department of Mathematics and Statistics, Washington State University, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":76.5557,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.99767198,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"65","issue":"20","first_page":"5266","last_page":"5280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9980000257492065,"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":0.9980000257492065,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9927999973297119,"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/subspace-topology","display_name":"Subspace topology","score":0.6822333335876465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5726812481880188},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5562437176704407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5338858962059021},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5306892395019531},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4917633831501007},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4721795618534088},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.47148653864860535},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4381472170352936},{"id":"https://openalex.org/keywords/array-processing","display_name":"Array processing","score":0.4261781573295593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34838226437568665},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3245539665222168},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2853142321109772},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19373896718025208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1924668848514557}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6822333335876465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5726812481880188},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5562437176704407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5338858962059021},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5306892395019531},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4917633831501007},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4721795618534088},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.47148653864860535},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4381472170352936},{"id":"https://openalex.org/C2778545087","wikidata":"https://www.wikidata.org/wiki/Q4795883","display_name":"Array processing","level":4,"score":0.4261781573295593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34838226437568665},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3245539665222168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2853142321109772},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19373896718025208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1924668848514557},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2017.2723340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2723340","pdf_url":null,"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:repositorio.unican.es:10902/12987","is_oa":false,"landing_page_url":"http://hdl.handle.net/10902/12987","pdf_url":null,"source":{"id":"https://openalex.org/S4306400398","display_name":"UCrea (University of Cantabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13134134","host_organization_name":"Universidad de Cantabria","host_organization_lineage":["https://openalex.org/I13134134"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2017, 65(20), 5266-5280","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1715556600","display_name":null,"funder_award_id":"TEC2013-47141-C4-3-R (RACHEL)","funder_id":"https://openalex.org/F4320321595","funder_display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras"},{"id":"https://openalex.org/G3726241763","display_name":null,"funder_award_id":"TEC2016-81900-REDT (KERMES)","funder_id":"https://openalex.org/F4320321595","funder_display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras"},{"id":"https://openalex.org/G3882882785","display_name":null,"funder_award_id":"DMS-1521746","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7636327188","display_name":null,"funder_award_id":"TEC2016-75067-C4-4-R (CARMEN)","funder_id":"https://openalex.org/F4320321595","funder_display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308798","display_name":"Albert Ellis Institute","ror":"https://ror.org/0027wxf59"},{"id":"https://openalex.org/F4320321595","display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras","ror":"https://ror.org/0348bpk17"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1487062216","https://openalex.org/W1560866723","https://openalex.org/W1836036400","https://openalex.org/W1969648546","https://openalex.org/W1970833212","https://openalex.org/W1971589750","https://openalex.org/W1976422186","https://openalex.org/W1979601639","https://openalex.org/W1980455221","https://openalex.org/W2019841176","https://openalex.org/W2037243761","https://openalex.org/W2043830805","https://openalex.org/W2056497166","https://openalex.org/W2062038453","https://openalex.org/W2066306397","https://openalex.org/W2086034082","https://openalex.org/W2101478599","https://openalex.org/W2101996248","https://openalex.org/W2106033317","https://openalex.org/W2108297400","https://openalex.org/W2114074734","https://openalex.org/W2114148673","https://openalex.org/W2118880464","https://openalex.org/W2141171905","https://openalex.org/W2144940556","https://openalex.org/W2157482107","https://openalex.org/W2159582847","https://openalex.org/W2163377067","https://openalex.org/W2163520367","https://openalex.org/W2163852636","https://openalex.org/W2165800172","https://openalex.org/W2171402290","https://openalex.org/W2248065114","https://openalex.org/W2294267340","https://openalex.org/W2296319761","https://openalex.org/W2326541121","https://openalex.org/W2473040437","https://openalex.org/W2594204008","https://openalex.org/W2744670858","https://openalex.org/W3101063317","https://openalex.org/W3147705998","https://openalex.org/W4238633965","https://openalex.org/W4246694998","https://openalex.org/W4250589301","https://openalex.org/W4253242484","https://openalex.org/W6696830702"],"related_works":["https://openalex.org/W2379264914","https://openalex.org/W2153912708","https://openalex.org/W2537400661","https://openalex.org/W2118094278","https://openalex.org/W3126343058","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W2089410207","https://openalex.org/W4300048032","https://openalex.org/W2367577754"],"abstract_inverted_index":{"In":[0,159],"this":[1],"paper,":[2],"we":[3],"consider":[4,83],"a":[5,16,20,30,37,54,61,84,144,173],"two-channel":[6],"multiple-input":[7],"multiple-output":[8],"passive":[9],"detection":[10,86],"problem,":[11],"in":[12,78,126],"which":[13,71],"there":[14],"is":[15,26,48,72,172],"surveillance":[17,51,183],"array":[18,25],"and":[19,36,60,109,182],"reference":[21,24,80,181],"array.":[22],"The":[23,46,124],"known":[27,41],"to":[28,137,147],"carry":[29],"linear":[31,55],"combination":[32,56],"of":[33,40,57,64,102,107,120,164,176],"broadband":[34,58],"noise":[35,59,157,166],"subspace":[38,62,76,90],"signal":[39,63,77],"dimension,":[42,67],"but":[43,68,97],"unknown":[44,69,113],"basis.":[45],"question":[47],"whether":[49],"the":[50,65,75,79,121,149,160,169,180],"channel":[52,128],"carries":[53],"same":[66],"basis,":[70],"correlated":[73,136],"with":[74,139],"channel.":[81],"We":[82,142],"second-order":[85],"problem":[87],"where":[88],"these":[89,155],"signals":[91],"are":[92],"structured":[93],"by":[94],"an":[95],"unknown,":[96],"common,":[98],"p-dimensional":[99],"random":[100],"vector":[101],"symbols":[103],"transmitted":[104],"from":[105,134],"sources":[106],"opportunity,":[108],"then":[110],"received":[111],"through":[112],"M":[114],"\u00d7":[115],"p":[116],"matrices":[117],"at":[118],"each":[119,127],"M-element":[122],"arrays.":[123],"noises":[125],"have":[129],"spatial":[130],"correlation":[131],"models":[132],"ranging":[133],"arbitrarily":[135],"independent":[138],"identical":[140],"variances.":[141],"provide":[143],"unified":[145],"framework":[146],"derive":[148],"generalized":[150],"likelihood":[151],"ratio":[152],"test":[153,170],"for":[154],"different":[156],"models.":[158],"most":[161],"general":[162],"case":[163],"arbitrary":[165],"covariance":[167],"matrices,":[168],"statistic":[171],"monotone":[174],"function":[175],"canonical":[177],"correlations":[178],"between":[179],"channels.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-07-14T00:00:00"}