{"id":"https://openalex.org/W4405360923","doi":"https://doi.org/10.1109/twc.2024.3495978","title":"Higher-Order Cumulant-Assisted Constant Wideband Compressive Spectrum Sensing Using Semantic Correlation Mining","display_name":"Higher-Order Cumulant-Assisted Constant Wideband Compressive Spectrum Sensing Using Semantic Correlation Mining","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4405360923","doi":"https://doi.org/10.1109/twc.2024.3495978"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2024.3495978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3495978","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Wireless Communications","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/A5074502431","display_name":"Jianfeng Liu","orcid":"https://orcid.org/0009-0004-5196-6195"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Liu","raw_affiliation_strings":["Department of Information and Communication Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-5196-6195","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032967691","display_name":"Xin\u2010Lin Huang","orcid":"https://orcid.org/0000-0002-1098-2437"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Lin Huang","raw_affiliation_strings":["Department of Information and Communication Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1098-2437","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050085003","display_name":"Fei Hu","orcid":"https://orcid.org/0000-0003-4346-9477"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USA","Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA"],"raw_orcid":"https://orcid.org/0000-0003-4346-9477","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.2527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5009252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"24","issue":"2","first_page":"893","last_page":"908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9882000088691711,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9882000088691711,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/wideband","display_name":"Wideband","score":0.6418992877006531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277671813964844},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.522429883480072},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5107696056365967},{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.5027978420257568},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.4702507555484772},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.34717410802841187},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.34405916929244995},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28874045610427856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28062039613723755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2498924732208252},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.21676722168922424},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.21274125576019287},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20810014009475708},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09990426898002625}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.6418992877006531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277671813964844},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.522429883480072},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5107696056365967},{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.5027978420257568},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.4702507555484772},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.34717410802841187},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.34405916929244995},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28874045610427856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28062039613723755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2498924732208252},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.21676722168922424},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.21274125576019287},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20810014009475708},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09990426898002625},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/twc.2024.3495978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3495978","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2088567099","display_name":null,"funder_award_id":"2022YFB4300504","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5670338821","display_name":"\u9762\u5411\u5bbd\u5e26\u4f4e\u65f6\u5ef6\u79fb\u52a8\u591a\u5a92\u4f53\u4f20\u8f93\u7684\u9891\u8c31\u5171\u4eab\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62071332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313610","display_name":"Shanghai Science and Technology Development Foundation","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},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1712805121","https://openalex.org/W1824175539","https://openalex.org/W2015418199","https://openalex.org/W2053010054","https://openalex.org/W2120060486","https://openalex.org/W2121058967","https://openalex.org/W2147893740","https://openalex.org/W2164452299","https://openalex.org/W2167077875","https://openalex.org/W2294363336","https://openalex.org/W2497667527","https://openalex.org/W2545047663","https://openalex.org/W2548272431","https://openalex.org/W2607622057","https://openalex.org/W2759123086","https://openalex.org/W2765546107","https://openalex.org/W2773816290","https://openalex.org/W2797136165","https://openalex.org/W2804941726","https://openalex.org/W2963652828","https://openalex.org/W2981539943","https://openalex.org/W3047523639","https://openalex.org/W3209085018","https://openalex.org/W4205274751","https://openalex.org/W4205951217","https://openalex.org/W4225699678","https://openalex.org/W4253214256","https://openalex.org/W4312329788","https://openalex.org/W4313011646","https://openalex.org/W4321016478","https://openalex.org/W4321607984","https://openalex.org/W4327796626","https://openalex.org/W4382203391","https://openalex.org/W4383988935"],"related_works":["https://openalex.org/W4200358983","https://openalex.org/W1483997978","https://openalex.org/W2907162295","https://openalex.org/W2003857655","https://openalex.org/W2611619770","https://openalex.org/W2543302838","https://openalex.org/W1983172016","https://openalex.org/W2026563148","https://openalex.org/W2144304265","https://openalex.org/W1956865565"],"abstract_inverted_index":{"Since":[0],"the":[1,4,47,60,64,68,74,84,97,134,137,148,160,187],"waveforms":[2],"of":[3,50,63,139,180],"signals":[5,53,66,102,127,141],"received":[6,52],"at":[7,172],"adjacent":[8,51,101],"times":[9],"are":[10,71,77,128,142],"different":[11,104,125],"due":[12],"to":[13,25,82,95],"varying":[14],"modulated":[15],"signals,":[16],"it":[17],"is":[18,57,93,108,118,147],"still":[19],"a":[20,40,89,114],"key":[21],"challenge":[22],"on":[23],"how":[24],"describe":[26],"temporal":[27],"correlations":[28],"precisely":[29],"in":[30,54,67,110,120],"compressive":[31,178],"spectrum":[32,86],"sensing":[33],"(CSS).":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"higher-order":[41,55],"cumulant-assisted":[42],"CSS":[43,91,116,189],"(HOC-CSS)":[44],"algorithm,":[45],"where":[46],"semantic":[48],"correlation":[49],"domain":[56],"exploited.":[58],"Firstly,":[59],"fourth-order":[61,75],"cumulants":[62,76],"reconstructed":[65,126,140],"previous":[69],"time":[70],"calculated.":[72,143],"Secondly,":[73],"integrated":[78],"with$\\ell":[79],"_{p}$-norm":[80],"minimization":[81],"estimate":[83],"current":[85],"signals.":[87],"Furthermore,":[88],"two-branch":[90],"scheme":[92],"proposed":[94,161],"eliminate":[96],"effect":[98],"causing":[99],"by":[100],"under":[103,177],"modulations.":[105],"The":[106,130,144,155],"HOC-CSS":[107],"performed":[109,119],"one":[111],"branch":[112],"and":[113,136,167,182,196],"noninformative":[115],"algorithm":[117,162],"another":[121],"branch,":[122],"thereby":[123],"two":[124],"obtained.":[129],"Euclidean":[131,153],"distances":[132],"between":[133],"measurements":[135],"projection":[138],"final":[145],"output":[146],"estimated":[149],"signal":[150],"with":[151,186],"smaller":[152],"distance.":[154],"experimental":[156],"results":[157],"demonstrate":[158],"that":[159],"has":[163],"more":[164],"than":[165],"8%":[166],"10%":[168],"detection":[169],"performance":[170],"improvement":[171],"false":[173],"alarm":[174],"probability":[175],"0.1,":[176],"ratio":[179],"0.4":[181],"0.5":[183],"respectively,":[184],"compared":[185],"state-of-the-art":[188],"schemes,":[190],"e.g.,":[191],"HMCPI-CSS,":[192],"Weighted$\\ell":[193],"_{1}$-CSS,":[194],"AR-IRLS,":[195],"IP-IRLS.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
