{"id":"https://openalex.org/W2537396954","doi":"https://doi.org/10.1109/globalsip.2013.6737114","title":"Spectrum sensing method without the impact of noise uncertainty","display_name":"Spectrum sensing method without the impact of noise uncertainty","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2537396954","doi":"https://doi.org/10.1109/globalsip.2013.6737114","mag":"2537396954"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2013.6737114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6737114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","raw_type":"proceedings-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/A5103130012","display_name":"Zhe Sun","orcid":null},"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":"Zhe Sun","raw_affiliation_strings":["State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028236191","display_name":"Weijia Han","orcid":"https://orcid.org/0000-0001-8378-3036"},"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":"Weijia Han","raw_affiliation_strings":["State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697315","display_name":"Zan Li","orcid":"https://orcid.org/0000-0002-5207-6504"},"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":"Zan Li","raw_affiliation_strings":["State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456327","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-8561-5092"},"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 Zhang","raw_affiliation_strings":["State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038958380","display_name":"Meilu Lin","orcid":null},"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":"Meilu Lin","raw_affiliation_strings":["State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103130012"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.4498,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85595677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1166","last_page":"1169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7276973724365234},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6923373341560364},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6710751056671143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148586273193359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6106339693069458},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5700200200080872},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.53748619556427},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5147040486335754},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5048733353614807},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.5029940009117126},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.47591954469680786},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4473226070404053},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4146520793437958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2905659079551697},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21924251317977905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21022272109985352},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1864534318447113},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.17695575952529907},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11939999461174011}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7276973724365234},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6923373341560364},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6710751056671143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148586273193359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6106339693069458},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5700200200080872},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.53748619556427},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5147040486335754},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5048733353614807},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.5029940009117126},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.47591954469680786},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4473226070404053},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4146520793437958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2905659079551697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21924251317977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21022272109985352},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1864534318447113},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.17695575952529907},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11939999461174011},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2013.6737114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6737114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1602659231","https://openalex.org/W2049562327","https://openalex.org/W2063551896","https://openalex.org/W2098367169","https://openalex.org/W2119137700","https://openalex.org/W2132105090","https://openalex.org/W2134323971","https://openalex.org/W2136816673","https://openalex.org/W2155999145","https://openalex.org/W2172130312","https://openalex.org/W4243833160"],"related_works":["https://openalex.org/W2181410425","https://openalex.org/W2051888740","https://openalex.org/W2382279859","https://openalex.org/W3203708548","https://openalex.org/W2046691252","https://openalex.org/W2384472869","https://openalex.org/W2132580384","https://openalex.org/W1644717624","https://openalex.org/W2143277222","https://openalex.org/W2005970952"],"abstract_inverted_index":{"In":[0],"cognitive":[1],"radio,":[2],"the":[3,12,16,19,38,52,55,58,63,82,85,88,108,112,128,132],"spectrum":[4,95],"sensing":[5,129],"plays":[6],"a":[7,93],"key":[8],"role":[9],"in":[10,43,77],"determining":[11],"performance":[13],"of":[14,57,87,135],"both":[15],"primary":[17],"and":[18,91,131],"secondary":[20],"networks.":[21],"The":[22,102,124],"eigenvalue":[23],"based":[24,98],"detection":[25,67,99,133],"(EbD)":[26],"algorithm":[27,104,138],"has":[28],"received":[29],"broad":[30],"attentions,":[31],"since":[32],"it":[33,46],"shows":[34],"significant":[35],"robustness":[36],"to":[37,50,70],"noise":[39],"uncertainty":[40],"problem.":[41],"However,":[42],"EbD":[44,113],"algorithm,":[45,114],"is":[47],"quite":[48],"difficult":[49],"obtain":[51],"distribution":[53],"for":[54,127],"eigenvalues":[56,83],"statistic":[59],"covariance":[60],"matrix,":[61],"causing":[62],"false":[64],"alarm":[65],"or":[66],"probability":[68,119,134],"fail":[69],"be":[71,121],"controlled":[72],"efficiently.":[73,123],"To":[74],"this":[75,78],"end,":[76],"paper,":[79],"we":[80],"reinvestigate":[81],"from":[84],"perspective":[86],"circulant":[89],"matrix":[90],"propose":[92],"power":[94],"density":[96],"(PSD)":[97],"(PbD)":[100],"algorithm.":[101],"proposed":[103],"not":[105],"only":[106],"shares":[107],"same":[109],"principle":[110],"as":[111],"but":[115],"also":[116,140],"its":[117],"error":[118],"can":[120],"calculated":[122],"closed-form":[125],"expressions":[126],"threshold":[130],"our":[136,145],"PdD":[137],"are":[139],"provided.":[141],"Simulation":[142],"results":[143],"validate":[144],"theoretical":[146],"analysis":[147],"well.":[148]},"counts_by_year":[{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
