{"id":"https://openalex.org/W2651855570","doi":"https://doi.org/10.1109/tsp.2017.2718975","title":"Adaptive Detection of a Subspace Signal in Signal-Dependent Interference","display_name":"Adaptive Detection of a Subspace Signal in Signal-Dependent Interference","publication_year":2017,"publication_date":"2017-06-22","ids":{"openalex":"https://openalex.org/W2651855570","doi":"https://doi.org/10.1109/tsp.2017.2718975","mag":"2651855570"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2718975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2718975","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/A5100379693","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0002-5492-7886"},"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":"Zeyu Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662583","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-4706-5173"},"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":"Ming Li","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051187033","display_name":"Hongmeng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153688","display_name":"Beijing Institute of Radio Metrology and Measurement","ror":"https://ror.org/02c8ctc21","country_code":null,"type":"company","lineage":["https://openalex.org/I15089104","https://openalex.org/I4387153688"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmeng Chen","raw_affiliation_strings":["Beijing Institute of Radio Measurement, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radio Measurement, Beijing, China","institution_ids":["https://openalex.org/I4387153688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090363951","display_name":"Lei Zuo","orcid":"https://orcid.org/0000-0002-7478-3648"},"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":"Lei Zuo","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088683171","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-8065-0948"},"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":"Peng Zhang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620718","display_name":"Yan Wu","orcid":"https://orcid.org/0000-0001-7502-2341"},"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":"Yan Wu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100379693"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":6.5312,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96047401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"65","issue":"18","first_page":"4812","last_page":"4820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9945999979972839,"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/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7893264889717102},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7475792169570923},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7373356819152832},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.6750001907348633},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6669455766677856},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.6357095241546631},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6323572993278503},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.5852624773979187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5494078397750854},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5480095744132996},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5452627539634705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48390135169029236},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4731924533843994},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4428204894065857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3962326645851135},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3461543917655945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34366369247436523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2974715232849121},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.27237260341644287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2613368034362793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1654486060142517},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07879447937011719}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7893264889717102},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7475792169570923},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7373356819152832},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.6750001907348633},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6669455766677856},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.6357095241546631},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6323572993278503},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.5852624773979187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5494078397750854},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5480095744132996},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5452627539634705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48390135169029236},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4731924533843994},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4428204894065857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3962326645851135},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3461543917655945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34366369247436523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2974715232849121},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.27237260341644287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2613368034362793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1654486060142517},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07879447937011719},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.2718975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2718975","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":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1374085333","display_name":null,"funder_award_id":"61272281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4164632042","display_name":null,"funder_award_id":"61301284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G672560828","display_name":null,"funder_award_id":"20110203110001","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G8306448457","display_name":null,"funder_award_id":"2014M562375","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G937602763","display_name":null,"funder_award_id":"61271297","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W194185512","https://openalex.org/W1426280032","https://openalex.org/W1663612341","https://openalex.org/W1963758962","https://openalex.org/W1976044906","https://openalex.org/W1986921156","https://openalex.org/W2012563130","https://openalex.org/W2013115145","https://openalex.org/W2013428078","https://openalex.org/W2023620992","https://openalex.org/W2030008549","https://openalex.org/W2034748641","https://openalex.org/W2049526524","https://openalex.org/W2054521533","https://openalex.org/W2064191652","https://openalex.org/W2065607385","https://openalex.org/W2067386499","https://openalex.org/W2068989375","https://openalex.org/W2069205140","https://openalex.org/W2070736078","https://openalex.org/W2073445499","https://openalex.org/W2074039348","https://openalex.org/W2076660936","https://openalex.org/W2078394884","https://openalex.org/W2079800918","https://openalex.org/W2081936987","https://openalex.org/W2091489596","https://openalex.org/W2096972831","https://openalex.org/W2106999806","https://openalex.org/W2107820823","https://openalex.org/W2115948820","https://openalex.org/W2131608745","https://openalex.org/W2140775152","https://openalex.org/W2144158572","https://openalex.org/W2149826217","https://openalex.org/W2153470460","https://openalex.org/W2154051216","https://openalex.org/W2159195662","https://openalex.org/W2161393155","https://openalex.org/W2170366951","https://openalex.org/W2181361133","https://openalex.org/W2191074260","https://openalex.org/W2237986896","https://openalex.org/W2241013740","https://openalex.org/W2283644562","https://openalex.org/W2425481323","https://openalex.org/W4213099427","https://openalex.org/W4233159434","https://openalex.org/W4242748674","https://openalex.org/W6637201377"],"related_works":["https://openalex.org/W2159195662","https://openalex.org/W2093700538","https://openalex.org/W2069215735","https://openalex.org/W2354373235","https://openalex.org/W3003095441","https://openalex.org/W2374441430","https://openalex.org/W1972093502","https://openalex.org/W2508876486","https://openalex.org/W2998914743","https://openalex.org/W2385308768"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,21,28,34,39,43,67,78,87,98,102,107,111,120,126,138,143,153,162],"problem":[5],"of":[6,9,50,54],"adaptive":[7,62],"detection":[8,132,158],"subspace":[10,41],"signals":[11],"embedded":[12],"in":[13],"thermal":[14],"noise":[15],"and":[16,70,81,90,104,131,134],"clutter":[17,37],"that":[18,33,136,152],"depends":[19],"on":[20],"transmitted":[22],"signal.":[23],"To":[24],"this":[25],"end,":[26],"at":[27],"design":[29,84],"stage,":[30],"we":[31,124],"assume":[32],"signal-dependent":[35],"(SD)":[36],"shares":[38],"same":[40],"as":[42,66,114],"target":[44],"signals.":[45],"As":[46],"customary,":[47],"a":[48,115,157],"set":[49],"secondary":[51],"data,":[52],"free":[53],"signal":[55],"components,":[56],"is":[57],"also":[58],"assumed":[59],"available.":[60],"Two":[61],"detectors,":[63],"referred":[64],"to":[65,77,118],"SD":[68,71],"Rao":[69,79,89],"Wald,":[72],"are":[73,94],"proposed":[74,108,140,154],"by":[75,96],"resorting":[76],"test":[80,83],"Wald":[82,91],"criteria.":[85],"Unlike":[86],"classical":[88],"tests,":[92],"which":[93],"derived":[95],"dividing":[97],"complex":[99,112],"parameter":[100,113],"into":[101],"real":[103],"imaginary":[105],"parts,":[106],"detectors":[109,141,155],"treat":[110],"single":[116],"quantity":[117],"reduce":[119],"computational":[121],"burden.":[122],"Moreover,":[123],"derive":[125],"theoretical":[127],"false":[128,145],"alarm":[129,146],"probabilities":[130,133],"show":[135,151],"both":[137],"two":[139],"exhibit":[142],"constant":[144],"rate":[147],"property.":[148],"Numerical":[149],"results":[150],"achieve":[156],"performance":[159],"improvement":[160],"over":[161],"conventional":[163],"multidimensional":[164],"detectors.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}