{"id":"https://openalex.org/W2981539943","doi":"https://doi.org/10.1109/tvt.2019.2948966","title":"Optimal Compressive Spectrum Sensing Based on Sparsity Order Estimation in Wideband Cognitive Radios","display_name":"Optimal Compressive Spectrum Sensing Based on Sparsity Order Estimation in Wideband Cognitive Radios","publication_year":2019,"publication_date":"2019-10-22","ids":{"openalex":"https://openalex.org/W2981539943","doi":"https://doi.org/10.1109/tvt.2019.2948966","mag":"2981539943"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2948966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2948966","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5101648069","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0001-9698-4013"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030193022","display_name":"Jiaojiao Dang","orcid":"https://orcid.org/0000-0001-5396-9673"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Dang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091738996","display_name":"Zuxun Song","orcid":"https://orcid.org/0000-0002-6137-0385"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuxun Song","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101648069"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.0809,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86829617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"68","issue":"12","first_page":"12094","last_page":"12106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9991999864578247,"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/compressed-sensing","display_name":"Compressed sensing","score":0.9189493060112},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8630255460739136},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.8473457098007202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253040432929993},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5555044412612915},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5283226370811462},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5107567310333252},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5004162788391113},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.47255584597587585},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45275047421455383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44288522005081177},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.44177109003067017},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36807578802108765},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3637799620628357},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3041102886199951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20732802152633667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20713075995445251},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1856033205986023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1386340856552124},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11030304431915283}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.9189493060112},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8630255460739136},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.8473457098007202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253040432929993},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5555044412612915},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5283226370811462},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5107567310333252},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5004162788391113},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.47255584597587585},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45275047421455383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44288522005081177},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.44177109003067017},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36807578802108765},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3637799620628357},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3041102886199951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20732802152633667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20713075995445251},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1856033205986023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1386340856552124},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11030304431915283},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/tvt.2019.2948966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2948966","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1986540212","https://openalex.org/W2003688737","https://openalex.org/W2006554558","https://openalex.org/W2074979863","https://openalex.org/W2083993605","https://openalex.org/W2100037283","https://openalex.org/W2120961178","https://openalex.org/W2122340891","https://openalex.org/W2129638195","https://openalex.org/W2138446376","https://openalex.org/W2141116650","https://openalex.org/W2145096794","https://openalex.org/W2171974671","https://openalex.org/W2294363336","https://openalex.org/W2296616510","https://openalex.org/W2314669335","https://openalex.org/W2338392543","https://openalex.org/W2474610106","https://openalex.org/W2511058381","https://openalex.org/W2580212254","https://openalex.org/W2625893224","https://openalex.org/W2737608867","https://openalex.org/W2775184687","https://openalex.org/W2784715930","https://openalex.org/W2787245337","https://openalex.org/W2787743626","https://openalex.org/W2792681747","https://openalex.org/W2799061312","https://openalex.org/W2803529593","https://openalex.org/W2891677098","https://openalex.org/W2893091917","https://openalex.org/W2897278386","https://openalex.org/W2962861956","https://openalex.org/W2962941403","https://openalex.org/W2963438348","https://openalex.org/W3098431333","https://openalex.org/W3100321248","https://openalex.org/W4250955649","https://openalex.org/W4297813001","https://openalex.org/W6675709261"],"related_works":["https://openalex.org/W1521597021","https://openalex.org/W2101046665","https://openalex.org/W2116264631","https://openalex.org/W2383496893","https://openalex.org/W2039739768","https://openalex.org/W2037673368","https://openalex.org/W2138368804","https://openalex.org/W2378166785","https://openalex.org/W1483997978","https://openalex.org/W4200358983"],"abstract_inverted_index":{"There":[0],"are":[1],"several":[2],"advantages":[3],"of":[4,28,43,61,102,109,144,191,225,231],"compressive":[5,86,104],"sensing":[6,11,74,88,159],"(CS)":[7],"technologies":[8],"for":[9],"spectrum":[10,87,196],"in":[12,18,24,47,56,171,194,207,222],"wideband":[13,166],"cognitive":[14],"radios":[15],"(CRs),":[16],"especially":[17],"reducing":[19],"the":[20,26,33,39,44,73,93,103,110,132,165,172,177,189,223],"sampling":[21],"rate.":[22],"However,":[23],"CS,":[25],"number":[27,60,71,143],"measurements":[29,62,145],"needed":[30],"to":[31,64,91,183],"reconstruct":[32],"sparse":[34,170],"signal":[35,167],"is":[36,49,168,180],"determined":[37],"by":[38,123],"actual":[40],"sparsity":[41,94,111,152],"order":[42,112,153],"signal,":[45],"which,":[46],"practice,":[48,57],"often":[50],"unknown":[51],"and":[52,67,116,175,213,217,229],"dynamically":[53],"varying.":[54],"Thus,":[55],"an":[58,117,141],"excessive":[59],"has":[63],"be":[65,114,121,220],"chosen,":[66],"choosing":[68],"such":[69],"a":[70,83,98,106,147,158],"degrades":[72],"performance.":[75],"To":[76],"solve":[77],"this":[78,80],"problem,":[79],"article":[81],"proposes":[82],"two-step":[84],"adaptive":[85],"(TS-ACSS)":[89],"method":[90,135,193,204],"estimate":[92],"order.":[95],"By":[96],"using":[97],"simple":[99],"statistical":[100],"analysis":[101],"measurements,":[105],"coarse":[107],"estimation":[108,119],"can":[113,120,136,155,162,205,218],"obtained,":[115],"accurate":[118],"acquired":[122],"comparing":[124],"multiple":[125],"iterations.":[126],"Compared":[127],"with":[128],"existing":[129],"CS":[130],"approaches,":[131],"proposed":[133],"TS-ACSS":[134],"not":[137,169],"only":[138],"adaptively":[139],"adopt":[140],"optimal":[142],"without":[146],"priori":[148],"knowledge":[149],"about":[150],"current":[151],"but":[154],"also":[156,219],"detect":[157],"failure":[160],"that":[161,202],"happen":[163],"if":[164,176],"frequency":[173],"domain":[174],"noise":[178],"level":[179],"too":[181],"large":[182],"sense":[184],"successfully.":[185],"Furthermore,":[186],"we":[187],"verify":[188],"effectiveness":[190],"our":[192,203],"dynamic":[195],"changing":[197],"scenarios.":[198],"The":[199],"results":[200],"show":[201],"work":[206],"both":[208],"low":[209],"signal-to-noise":[210],"ratios":[211],"(SNRs)":[212],"high":[214],"SNRs":[215],"environments,":[216],"applied":[221],"condition":[224],"different":[226],"energy":[227],"coefficients":[228],"positions":[230],"channel":[232],"occupancy.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}