{"id":"https://openalex.org/W2896230130","doi":"https://doi.org/10.1109/tsp.2018.2875416","title":"Persymmetric Adaptive Detection of Subspace Signals: Algorithms and Performance Analysis","display_name":"Persymmetric Adaptive Detection of Subspace Signals: Algorithms and Performance Analysis","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2896230130","doi":"https://doi.org/10.1109/tsp.2018.2875416","mag":"2896230130"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2018.2875416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2875416","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/A5100361920","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-7193-0622"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7193-0622","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059682113","display_name":"Weijian Liu","orcid":"https://orcid.org/0000-0002-0330-8073"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Liu","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0330-8073","affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103185505","display_name":"Yongchan Gao","orcid":"https://orcid.org/0000-0002-9735-5224"},"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":"Yongchan Gao","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9735-5224","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, 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":"middle","author":{"id":"https://openalex.org/A5100765485","display_name":"Shenghua Zhou","orcid":"https://orcid.org/0000-0002-9271-6633"},"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":"Shenghua Zhou","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9271-6633","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, 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/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang-Gen Xia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"],"raw_orcid":"https://orcid.org/0000-0002-5599-7683","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":74.1566,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.99827446,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"66","issue":"23","first_page":"6124","last_page":"6136"},"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":0.9980999827384949,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7836379408836365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7195177674293518},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6761096715927124},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6750752925872803},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6695184707641602},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.600254237651825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504487752914429},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4677460491657257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33413925766944885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22982797026634216},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1533193588256836},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10233893990516663}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7836379408836365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7195177674293518},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6761096715927124},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6750752925872803},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6695184707641602},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.600254237651825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504487752914429},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4677460491657257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33413925766944885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22982797026634216},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1533193588256836},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10233893990516663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2018.2875416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2875416","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1645330042","display_name":null,"funder_award_id":"2017CFB589","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3580731644","display_name":null,"funder_award_id":"61871469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6612962111","display_name":null,"funder_award_id":"61501351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7228381803","display_name":null,"funder_award_id":"61501505","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W653761051","https://openalex.org/W1426280032","https://openalex.org/W1495949875","https://openalex.org/W1663612341","https://openalex.org/W1963758962","https://openalex.org/W1969534197","https://openalex.org/W1973176871","https://openalex.org/W1978382143","https://openalex.org/W1978971170","https://openalex.org/W1984591497","https://openalex.org/W1986921156","https://openalex.org/W2007049359","https://openalex.org/W2008662406","https://openalex.org/W2012322974","https://openalex.org/W2013438974","https://openalex.org/W2046891848","https://openalex.org/W2063677402","https://openalex.org/W2068989375","https://openalex.org/W2069205140","https://openalex.org/W2071572195","https://openalex.org/W2075261934","https://openalex.org/W2076660936","https://openalex.org/W2082666825","https://openalex.org/W2087509840","https://openalex.org/W2087527144","https://openalex.org/W2088265797","https://openalex.org/W2091489596","https://openalex.org/W2099444990","https://openalex.org/W2104908749","https://openalex.org/W2106698944","https://openalex.org/W2115346419","https://openalex.org/W2118896231","https://openalex.org/W2123776775","https://openalex.org/W2136172243","https://openalex.org/W2137102213","https://openalex.org/W2141330891","https://openalex.org/W2144158572","https://openalex.org/W2149826217","https://openalex.org/W2154051216","https://openalex.org/W2156166401","https://openalex.org/W2168703653","https://openalex.org/W2171533090","https://openalex.org/W2237986896","https://openalex.org/W2247519849","https://openalex.org/W2247802672","https://openalex.org/W2283644562","https://openalex.org/W2296630171","https://openalex.org/W2774946376","https://openalex.org/W2806219860","https://openalex.org/W2887378023","https://openalex.org/W4213099427","https://openalex.org/W6637201377","https://openalex.org/W6682961916"],"related_works":["https://openalex.org/W2358318175","https://openalex.org/W4361216139","https://openalex.org/W2038514455","https://openalex.org/W2349411638","https://openalex.org/W2110877066","https://openalex.org/W4253187944","https://openalex.org/W2384472869","https://openalex.org/W4386431944","https://openalex.org/W2901372043","https://openalex.org/W4238211170"],"abstract_inverted_index":{"The":[0,24],"problem":[1],"of":[2,21,26,44,75,80,99,116],"detecting":[3],"a":[4,31,38,45,54,105,122],"subspace":[5,32,39],"signal":[6,25],"in":[7,108,113,125],"colored":[8],"Gaussian":[9],"noise":[10],"with":[11,30,49,57],"unknown":[12,50],"covariance":[13],"matrix":[14],"is":[15,28],"investigated":[16],"by":[17,41,132],"incorporating":[18],"persymmetric":[19,55,65,101],"structure":[20,102],"received":[22],"data.":[23,119],"interest":[27],"described":[29],"model,":[33],"namely,":[34],"it":[35],"belongs":[36],"to":[37,104],"spanned":[40],"the":[42,73,81,97,100,109,114,126,135],"columns":[43],"known":[46],"matrix,":[47],"but":[48],"coordinates.":[51],"We":[52],"propose":[53],"detector":[56,83],"two":[58],"tunable":[59,136],"parameters,":[60],"which":[61,86],"includes":[62],"many":[63],"existing":[64],"detectors":[66],"as":[67],"special":[68],"cases.":[69],"Approximate":[70],"expressions":[71],"for":[72],"probabilities":[74],"false":[76],"alarm":[77],"and":[78],"detection":[79,110,127],"proposed":[82],"are":[84,87],"derived,":[85],"verified":[88],"via":[89],"Monte":[90],"Carlo":[91],"simulations.":[92],"Numerical":[93],"results":[94],"reveal":[95],"that":[96],"exploitation":[98],"leads":[103],"significant":[106],"gain":[107,124],"performance,":[111],"especially":[112],"case":[115],"limited":[117],"training":[118],"In":[120],"addition,":[121],"further":[123],"performance":[128],"can":[129],"be":[130],"obtained":[131],"optimally":[133],"selecting":[134],"parameters.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
