{"id":"https://openalex.org/W2089373884","doi":"https://doi.org/10.1145/1815396.1815619","title":"Analysis of \u03b1-domain noise and feature detection for cognitive radio systems","display_name":"Analysis of \u03b1-domain noise and feature detection for cognitive radio systems","publication_year":2010,"publication_date":"2010-06-28","ids":{"openalex":"https://openalex.org/W2089373884","doi":"https://doi.org/10.1145/1815396.1815619","mag":"2089373884"},"language":"en","primary_location":{"id":"doi:10.1145/1815396.1815619","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815396.1815619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Wireless Communications and Mobile Computing Conference","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/A5085791658","display_name":"Xiaoying Gan","orcid":"https://orcid.org/0000-0001-5200-1409"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoying Gan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100896002","display_name":"Miao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Xu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111858597","display_name":"Zhongren Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongren Cao","raw_affiliation_strings":["University of California San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066146166","display_name":"Feng Yang","orcid":"https://orcid.org/0000-0002-4854-6331"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103232390","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-7846-8629"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China","Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China#TAB#","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047634459","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8134-6908"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China","Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Bantian Longgang, Shenzhen, P.R. China#TAB#","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085791658"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18149604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"976","last_page":"980"},"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":1.0,"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":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/false-alarm","display_name":"False alarm","score":0.704663872718811},{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.6920435428619385},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6712003946304321},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6705437898635864},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6302483081817627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5835041999816895},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.529462993144989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47063326835632324},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.45395463705062866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4505864977836609},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43248772621154785},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.42409729957580566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4153691232204437},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33236587047576904},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25170934200286865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2143300175666809},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13316115736961365},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08475422859191895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0662848949432373}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.704663872718811},{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.6920435428619385},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6712003946304321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6705437898635864},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6302483081817627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5835041999816895},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.529462993144989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47063326835632324},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.45395463705062866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4505864977836609},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43248772621154785},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.42409729957580566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4153691232204437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33236587047576904},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25170934200286865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2143300175666809},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13316115736961365},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08475422859191895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0662848949432373},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1815396.1815619","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815396.1815619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Wireless Communications and Mobile Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5500873509","display_name":null,"funder_award_id":"2009AA011802","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W585227903","https://openalex.org/W2038809151","https://openalex.org/W2046721966","https://openalex.org/W2101354295","https://openalex.org/W2144369278","https://openalex.org/W2149255982","https://openalex.org/W2151946103","https://openalex.org/W2152824241","https://openalex.org/W2168013846","https://openalex.org/W2168078104","https://openalex.org/W2168746287","https://openalex.org/W2363371188","https://openalex.org/W6617053609"],"related_works":["https://openalex.org/W2525607743","https://openalex.org/W2172130312","https://openalex.org/W2181410425","https://openalex.org/W2051888740","https://openalex.org/W2382279859","https://openalex.org/W2046691252","https://openalex.org/W2384472869","https://openalex.org/W3203708548","https://openalex.org/W2132580384","https://openalex.org/W2003835194"],"abstract_inverted_index":{"Cyclostationary":[0],"feature":[1,24,44],"detection":[2,25,45,53,101],"is":[3,20,72,85,111,119],"capable":[4],"of":[5,35,60,91,100,106,115],"improving":[6],"sensing":[7],"performance":[8],"in":[9,104],"Cognitive":[10],"Radio":[11],"systems.":[12],"The":[13,113],"maximum":[14],"over":[15],"spectral":[16],"on":[17,80,95],"cyclostationary":[18],"domain":[19],"called":[21],"\u03b1-domain.":[22,81],"\u03b1-domain":[23,43,61,116],"will":[26],"greatly":[27],"reduce":[28],"computational":[29],"complexity":[30],"with":[31],"respect":[32],"to":[33,87],"prior-knowledge":[34],"carrier":[36],"frequency.":[37],"To":[38],"select":[39],"the":[40,58,77,89,122],"threshold":[41,102],"for":[42],"under":[46],"a":[47],"given":[48],"noise":[49,62,78,117],"level":[50],"and":[51,74],"miss":[52],"probability":[54,109],"Pf,":[55],"we":[56],"need":[57],"expression":[59],"distribution.":[63,93],"In":[64],"this":[65],"paper,":[66],"Generalized":[67],"Extreme":[68],"Value":[69],"(GEV)":[70],"distribution":[71,79,118],"introduced":[73],"found":[75],"as":[76],"Maximum":[82],"likelihood":[83],"estimation":[84],"applied":[86],"estimate":[88],"parameters":[90],"GEV":[92,96],"Based":[94],"distribution,":[97],"close":[98],"form":[99],"\u03bbth":[103],"terms":[105],"false":[107],"alarm":[108],"Pf":[110],"obtained.":[112],"validation":[114],"confirmed":[120],"by":[121],"Monte-Carlo":[123],"simulation.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
