{"id":"https://openalex.org/W3172315177","doi":"https://doi.org/10.1109/tccn.2021.3089686","title":"Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing","display_name":"Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing","publication_year":2021,"publication_date":"2021-06-16","ids":{"openalex":"https://openalex.org/W3172315177","doi":"https://doi.org/10.1109/tccn.2021.3089686","mag":"3172315177"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2021.3089686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2021.3089686","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5100675816","display_name":"Yongwei Zhang","orcid":"https://orcid.org/0000-0003-3381-6340"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3381-6340","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080241813","display_name":"Shunchao Zhang","orcid":"https://orcid.org/0000-0003-1303-1781"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunchao Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1303-1781","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067632093","display_name":"Yonghua Wang","orcid":"https://orcid.org/0000-0002-0051-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Wang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0051-7224","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081595730","display_name":"Jiawei Zhuang","orcid":"https://orcid.org/0000-0002-2240-3201"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhuang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043598115","display_name":"Pin Wan","orcid":"https://orcid.org/0000-0002-4464-8007"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Wan","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4464-8007","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":2.2788,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88401028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"47","last_page":"56"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955000281333923,"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/riemannian-manifold","display_name":"Riemannian manifold","score":0.743135929107666},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.611883282661438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979242920875549},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5705664157867432},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.5617846846580505},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.553210437297821},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5076655149459839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48268890380859375},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.46013039350509644},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4332914650440216},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4146539270877838},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4127844274044037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35197076201438904},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.34252816438674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34207555651664734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242857754230499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2712858319282532},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1832597553730011},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12126123905181885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09884661436080933},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09548640251159668}],"concepts":[{"id":"https://openalex.org/C2779593128","wikidata":"https://www.wikidata.org/wiki/Q632814","display_name":"Riemannian manifold","level":2,"score":0.743135929107666},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.611883282661438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979242920875549},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5705664157867432},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.5617846846580505},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.553210437297821},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5076655149459839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48268890380859375},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.46013039350509644},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4332914650440216},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4146539270877838},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4127844274044037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35197076201438904},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.34252816438674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34207555651664734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242857754230499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2712858319282532},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1832597553730011},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12126123905181885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09884661436080933},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09548640251159668},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2021.3089686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2021.3089686","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7963557446","display_name":"\u57fa\u4e8e\u4fe1\u606f\u51e0\u4f55\u7684\u591a\u7ef4\u9891\u8c31\u611f\u77e5\u548c\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971147","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1759328393","https://openalex.org/W1966773782","https://openalex.org/W1982436641","https://openalex.org/W2027572016","https://openalex.org/W2038383584","https://openalex.org/W2046615855","https://openalex.org/W2059896646","https://openalex.org/W2065424480","https://openalex.org/W2096686011","https://openalex.org/W2141860157","https://openalex.org/W2158120808","https://openalex.org/W2158911079","https://openalex.org/W2168078104","https://openalex.org/W2171402290","https://openalex.org/W2185503150","https://openalex.org/W2249359021","https://openalex.org/W2470599180","https://openalex.org/W2551632168","https://openalex.org/W2597613627","https://openalex.org/W2766647418","https://openalex.org/W2776419204","https://openalex.org/W2891720588","https://openalex.org/W2915888541","https://openalex.org/W2963728970","https://openalex.org/W2971871615","https://openalex.org/W2976523583","https://openalex.org/W3009316717","https://openalex.org/W3019114926","https://openalex.org/W3037369841","https://openalex.org/W3080198467","https://openalex.org/W3103394902"],"related_works":["https://openalex.org/W2098233271","https://openalex.org/W4294642751","https://openalex.org/W2738525905","https://openalex.org/W1556853708","https://openalex.org/W2144291038","https://openalex.org/W4296266399","https://openalex.org/W2117233216","https://openalex.org/W2753489163","https://openalex.org/W4297533531","https://openalex.org/W2952411908"],"abstract_inverted_index":{"In":[0,59,92],"this":[1],"article,":[2],"the":[3,19,28,36,43,49,57,63,83,122,132,135],"multi-antenna":[4],"cooperative":[5],"spectrum":[6],"sensing":[7,29],"problem":[8],"in":[9,129],"cognitive":[10],"radio":[11],"networks":[12],"is":[13,24,40,78,111,118,138],"investigated":[14],"over":[15,98],"Riemannian":[16,74,99,103],"manifold.":[17,58],"At":[18],"beginning,":[20],"a":[21,68,90,101,115],"signal":[22],"matrix":[23,39],"constructed":[25],"by":[26],"using":[27],"signals":[30],"from":[31],"secondary":[32],"users":[33],"(SUs)":[34],"and":[35,52],"corresponding":[37],"covariance":[38,44],"calculated.":[41],"Subsequently,":[42],"matrices":[45],"are":[46,86],"transmitted":[47],"to":[48,54,61,88,94,113,120],"fusion":[50,70],"center":[51],"mapped":[53],"points":[55,85],"on":[56,73],"order":[60,93],"reduce":[62],"impact":[64],"of":[65,124,134],"aberrant":[66],"SUs,":[67],"data":[69,81],"scheme":[71,137],"based":[72,105],"mean":[75],"shift":[76],"algorithm":[77],"developed.":[79],"After":[80],"fusion,":[82],"representative":[84],"obtained":[87],"train":[89,114],"classifier.":[91],"realize":[95],"clustering":[96],"directly":[97],"manifold,":[100],"novel":[102],"distance":[104],"particle":[106],"swarm":[107],"optimization":[108],"(RDPSO)":[109],"algorithm,":[110],"proposed":[112,136],"classifier,":[116],"which":[117],"employed":[119],"determine":[121],"state":[123],"primary":[125],"user":[126],"(PU).":[127],"Finally,":[128],"simulation":[130],"part,":[131],"validity":[133],"verified":[139],"under":[140],"different":[141],"scenarios.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}