{"id":"https://openalex.org/W3096028731","doi":"https://doi.org/10.1109/access.2020.3035793","title":"Intelligent Signal Detection Under Spatially Correlated Noise","display_name":"Intelligent Signal Detection Under Spatially Correlated Noise","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3096028731","doi":"https://doi.org/10.1109/access.2020.3035793","mag":"3096028731"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3035793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09248029.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09248029.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100735058","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-8333-154X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Mathematics and Statistics, Xi&#x2019","an, China","an Jiaotong University, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0001-8333-154X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040282710","display_name":"Jiang Xue","orcid":"https://orcid.org/0000-0002-1832-5263"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xue","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","an, China","School of Mathematics and Statistics, Xi&#x2019","an Jiaotong University, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-1832-5263","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061430082","display_name":"John Thompson","orcid":"https://orcid.org/0000-0002-4605-9708"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Thompson","raw_affiliation_strings":["School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868924","display_name":"Jia Yu","orcid":"https://orcid.org/0009-0003-5542-4177"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Yu","raw_affiliation_strings":["Research Institute of 5G Communication and Big Data, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of 5G Communication and Big Data, Hangzhou, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13304949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"201995","last_page":"202005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"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/T11946","display_name":"Antenna Design and Optimization","score":0.994700014591217,"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/direction-of-arrival","display_name":"Direction of arrival","score":0.752034068107605},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.7366002798080444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444036364555359},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.606921911239624},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.600256085395813},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5748733282089233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.564184308052063},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.5496692061424255},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.5455145835876465},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4929778575897217},{"id":"https://openalex.org/keywords/direction-finding","display_name":"Direction finding","score":0.49108171463012695},{"id":"https://openalex.org/keywords/angle-of-arrival","display_name":"Angle of arrival","score":0.45729267597198486},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.45723873376846313},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4452357888221741},{"id":"https://openalex.org/keywords/antenna-array","display_name":"Antenna array","score":0.4414110481739044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34379470348358154},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.3122403621673584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3097458779811859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1663675308227539},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1592637300491333},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.13442111015319824}],"concepts":[{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.752034068107605},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.7366002798080444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444036364555359},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.606921911239624},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.600256085395813},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5748733282089233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.564184308052063},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.5496692061424255},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.5455145835876465},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4929778575897217},{"id":"https://openalex.org/C2780382809","wikidata":"https://www.wikidata.org/wiki/Q1367488","display_name":"Direction finding","level":3,"score":0.49108171463012695},{"id":"https://openalex.org/C13545353","wikidata":"https://www.wikidata.org/wiki/Q4763363","display_name":"Angle of arrival","level":3,"score":0.45729267597198486},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.45723873376846313},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4452357888221741},{"id":"https://openalex.org/C62191587","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Antenna array","level":3,"score":0.4414110481739044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34379470348358154},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.3122403621673584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3097458779811859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1663675308227539},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1592637300491333},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.13442111015319824},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":2,"locations":[{"id":"doi:10.1109/access.2020.3035793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09248029.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:36a95a5463954dc4b9ca963fd4054a29","is_oa":true,"landing_page_url":"https://doaj.org/article/36a95a5463954dc4b9ca963fd4054a29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 201995-202005 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3035793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09248029.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4794227672","display_name":null,"funder_award_id":"019GY-041","funder_id":"https://openalex.org/F4320327224","funder_display_name":"Shaanxi Provincial Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320327224","display_name":"Shaanxi Provincial Science and Technology Department","ror":null},{"id":"https://openalex.org/F4320329332","display_name":"Central Military Commission","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096028731.pdf","grobid_xml":"https://content.openalex.org/works/W3096028731.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1506806321","https://openalex.org/W1939028615","https://openalex.org/W1951073926","https://openalex.org/W1978372894","https://openalex.org/W1986195997","https://openalex.org/W1996639130","https://openalex.org/W2009086942","https://openalex.org/W2009506162","https://openalex.org/W2017154474","https://openalex.org/W2019945856","https://openalex.org/W2032846556","https://openalex.org/W2045463928","https://openalex.org/W2067768424","https://openalex.org/W2074264938","https://openalex.org/W2086614024","https://openalex.org/W2088849160","https://openalex.org/W2096710051","https://openalex.org/W2105502962","https://openalex.org/W2112096914","https://openalex.org/W2113638573","https://openalex.org/W2113642685","https://openalex.org/W2115141757","https://openalex.org/W2115943304","https://openalex.org/W2118693125","https://openalex.org/W2124171832","https://openalex.org/W2128131274","https://openalex.org/W2142635246","https://openalex.org/W2149213383","https://openalex.org/W2149755721","https://openalex.org/W2162654459","https://openalex.org/W2166426208","https://openalex.org/W2168175751","https://openalex.org/W2557900583","https://openalex.org/W2612848743","https://openalex.org/W2772022877","https://openalex.org/W3103955503","https://openalex.org/W6640867287"],"related_works":["https://openalex.org/W2147137631","https://openalex.org/W1547202339","https://openalex.org/W2150703374","https://openalex.org/W256964841","https://openalex.org/W2140855769","https://openalex.org/W1562800788","https://openalex.org/W2914452281","https://openalex.org/W2351060036","https://openalex.org/W1989876652","https://openalex.org/W2207431673"],"abstract_inverted_index":{"Detecting":[0],"the":[1,4,26,52,57,64,70,85,93,99,105,148,159,166,189,198,205,221,226,231,237,240,251,254],"signal":[2,65,180],"of":[3,28,41,54,59,87,96,150,191,200,207,223,228,256],"antenna":[5],"array":[6],"is":[7,101,108,260],"a":[8,34,135,174,213],"major":[9],"problem":[10,79],"in":[11,246],"theoretical":[12],"research":[13],"and":[14,56,125,127,152,165,172,225,239],"practical":[15],"application.":[16],"In":[17,61,110,183],"this":[18,111,139,210],"paper,":[19],"several":[20],"new":[21,35,157,175,214,258],"methods":[22,114,259],"are":[23],"given":[24],"for":[25,147,187],"number":[27,53,149,199,222],"signals":[29,55,202,224],"detection":[30,66],"at":[31,230],"first,":[32],"secondly,":[33],"method":[36,67,146,163,215,235,244],"called":[37,216],"Principal":[38,241],"Component":[39,242],"Analysis":[40,243],"Signal":[42],"Estimation":[43],"(PCASE)":[44],"will":[45,131],"be":[46],"introduced":[47],"which":[48,218],"can":[49,219],"simultaneously":[50],"detect":[51],"direction":[58,190,206,227],"arrival.":[60,208],"recent":[62],"decades,":[63],"based":[68,178],"on":[69,179],"information":[71,107,118],"theory":[72],"criterion":[73],"has":[74,80],"been":[75,81],"widely":[76],"studied.":[77],"The":[78],"adequately":[82],"solved":[83],"under":[84],"assumption":[86],"uncorrelated":[88],"white":[89],"noise.":[90],"However,":[91],"considering":[92],"actual":[94],"situation":[95],"wireless":[97],"communication,":[98],"noise":[100,106],"spatially":[102],"correlated":[103],"or":[104],"unknown.":[109],"case,":[112],"traditional":[113],"such":[115],"as":[116,194],"Akaike&#x2019;s":[117],"criteria":[119],"(AIC),":[120],"minimum":[121],"descriptive":[122],"length":[123],"(MDL)":[124],"sparse":[126],"parameter":[128],"approach":[129],"(SPA)":[130],"often":[132],"lead":[133],"to":[134,155,203],"wrong":[136],"estimation.":[137],"Therefore,":[138,209],"paper":[140,211],"introduces":[141],"an":[142],"improved":[143,160,167],"eigenvalue":[144,161],"correction":[145],"signals,":[151],"applies":[153],"it":[154],"two":[156],"methods:":[158],"gradient":[162],"(Im-EGM)":[164],"eigen-increment":[168],"stop":[169],"rule":[170],"(Im-EISR),":[171],"studies":[173],"estimation":[176],"algorithm":[177],"cancellation":[181],"(SC).":[182],"addition,":[184],"previous":[185],"algorithms":[186],"estimating":[188],"arrival":[192,229],"(such":[193],"MUSIC,":[195],"ESPRIT)":[196],"require":[197],"known":[201],"estimate":[204,220],"proposes":[212],"PCASE,":[217],"same":[232],"time.":[233],"This":[234],"combines":[236],"SPA":[238],"(PCA)":[245],"machine":[247],"learning.":[248],"Compared":[249],"with":[250],"existing":[252],"methods,":[253],"accuracy":[255],"these":[257],"verified":[261],"by":[262],"Monte":[263],"Carlo":[264],"simulation.":[265]},"counts_by_year":[],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
