{"id":"https://openalex.org/W4382203277","doi":"https://doi.org/10.1109/lcomm.2023.3289982","title":"An SVM-Based Feature Detection Scheme for Spatial Spectrum Sensing","display_name":"An SVM-Based Feature Detection Scheme for Spatial Spectrum Sensing","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382203277","doi":"https://doi.org/10.1109/lcomm.2023.3289982"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2023.3289982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3289982","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5101497245","display_name":"Lihao Tang","orcid":"https://orcid.org/0009-0004-4568-9996"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihao Tang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070632044","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0002-0732-648X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064657549","display_name":"Yuan Jiang","orcid":"https://orcid.org/0000-0003-4307-0562"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101497245"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.1876,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8823458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"8","first_page":"2132","last_page":"2136"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9959999918937683,"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/cognitive-radio","display_name":"Cognitive radio","score":0.7367576956748962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7264843583106995},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6693000197410583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5770092010498047},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5757597088813782},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5364521145820618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5158290266990662},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5068367123603821},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5003983974456787},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4699340760707855},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.422330379486084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3858048617839813},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.3191951811313629},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20225802063941956},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1935558021068573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1294170320034027},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07669764757156372}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7367576956748962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264843583106995},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5770092010498047},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5757597088813782},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5364521145820618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5158290266990662},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5068367123603821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5003983974456787},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4699340760707855},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.422330379486084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3858048617839813},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.3191951811313629},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20225802063941956},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1935558021068573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1294170320034027},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07669764757156372},{"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/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/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/lcomm.2023.3289982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3289982","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2363778636","display_name":null,"funder_award_id":"62101608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8005007232","display_name":null,"funder_award_id":"2018YFB1802300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8719945904","display_name":null,"funder_award_id":"GDNRC[2021]32","funder_id":"https://openalex.org/F1754546721","funder_display_name":"Department of Natural Resources of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F1754546721","display_name":"Department of Natural Resources of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1984892991","https://openalex.org/W2018240663","https://openalex.org/W2036788473","https://openalex.org/W2101840010","https://openalex.org/W2119137700","https://openalex.org/W2136816673","https://openalex.org/W2171046349","https://openalex.org/W2334803891","https://openalex.org/W2551956255","https://openalex.org/W2775185908","https://openalex.org/W2944313727","https://openalex.org/W2957615201","https://openalex.org/W2994907232","https://openalex.org/W2996666418","https://openalex.org/W4226073566"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2365415733","https://openalex.org/W2063322879","https://openalex.org/W4200379864","https://openalex.org/W2130267323"],"abstract_inverted_index":{"In":[0,16],"cognitive":[1],"radio,":[2],"most":[3],"spectrum":[4,8,14,24,73,109],"sensing":[5,25,110,124],"algorithms":[6],"detect":[7,29],"holes":[9],"in":[10,107],"the":[11,30,33,39,55,59,67,71,76,83,92,98,117,121],"time":[12],"or":[13],"domain.":[15],"this":[17],"letter,":[18],"we":[19],"propose":[20],"a":[21],"novel":[22],"spatial":[23,49,72],"scheme":[26,119],"that":[27,116],"can":[28],"signal":[31,57],"of":[32,41,70,78],"primary":[34],"user":[35],"(PU)":[36],"and":[37,75],"offer":[38],"angle":[40,77],"arrival":[42,79],"(AoA)":[43],"information.":[44],"First,":[45],"two":[46],"new":[47],"effective":[48],"features":[50],"are":[51],"introduced":[52],"to":[53,95,97],"distinguish":[54],"PU":[56],"from":[58],"noise":[60],"at":[61,127],"low":[62,128],"signal-to-noise":[63],"ratio":[64],"(SNR),":[65],"namely":[66],"maximum":[68],"value":[69],"(MVSS)":[74],"difference":[80],"(AAD).":[81],"Then":[82],"support":[84],"vector":[85],"machine":[86],"(SVM)":[87],"algorithm":[88],"is":[89],"utilized":[90],"for":[91],"feature":[93],"classification":[94],"adapt":[96],"varying":[99],"environment,":[100],"rather":[101],"than":[102],"using":[103],"inherent":[104],"thresholds":[105],"as":[106],"traditional":[108],"methods.":[111],"Finally,":[112],"simulation":[113],"results":[114],"show":[115],"proposed":[118],"outperforms":[120],"state-of-the-art":[122],"multi-antenna":[123],"methods,":[125],"especially":[126],"SNR.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}