{"id":"https://openalex.org/W1585951335","doi":"https://doi.org/10.1109/ict.2015.7124709","title":"Wideband spectrum sensing based on coprime sampling","display_name":"Wideband spectrum sensing based on coprime sampling","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1585951335","doi":"https://doi.org/10.1109/ict.2015.7124709","mag":"1585951335"},"language":"en","primary_location":{"id":"doi:10.1109/ict.2015.7124709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2015.7124709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 22nd International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059661620","display_name":"Shiyu Ren","orcid":"https://orcid.org/0000-0002-3423-4134"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Ren","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906657","display_name":"Zhimin Zeng","orcid":"https://orcid.org/0009-0008-5717-9167"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Zeng","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058648594","display_name":"Caili Guo","orcid":"https://orcid.org/0000-0001-8892-4520"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caili Guo","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110067561","display_name":"Xuekang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekang Sun","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"348","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9993000030517578,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991999864578247,"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":0.8797922134399414},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7473723888397217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6644572019577026},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5970761775970459},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5274089574813843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4958723485469818},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.480480819940567},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4732140600681305},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.44920244812965393},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44913047552108765},{"id":"https://openalex.org/keywords/coprime-integers","display_name":"Coprime integers","score":0.443258672952652},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.4175727367401123},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.37893322110176086},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3538356423377991},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.24927091598510742},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18868869543075562},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13025298714637756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11751008033752441}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.8797922134399414},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7473723888397217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644572019577026},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5970761775970459},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5274089574813843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4958723485469818},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.480480819940567},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4732140600681305},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.44920244812965393},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44913047552108765},{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.443258672952652},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.4175727367401123},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.37893322110176086},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3538356423377991},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24927091598510742},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18868869543075562},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13025298714637756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11751008033752441},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict.2015.7124709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2015.7124709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 22nd International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2003688737","https://openalex.org/W2006554558","https://openalex.org/W2010066971","https://openalex.org/W2078204800","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2149551443","https://openalex.org/W2164390589","https://openalex.org/W2168078104","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6652067333"],"related_works":["https://openalex.org/W2618429789","https://openalex.org/W2068853110","https://openalex.org/W3128645236","https://openalex.org/W2981006997","https://openalex.org/W2117754134","https://openalex.org/W2154377806","https://openalex.org/W2541304322","https://openalex.org/W4235804032","https://openalex.org/W2378166785","https://openalex.org/W3086079184"],"abstract_inverted_index":{"In":[0],"wideband":[1,14,55,73,120,165],"compressive":[2,18],"spectrum":[3,56,70],"sensing,":[4],"when":[5],"the":[6,12,16,24,42,68,72,77,105,110,116,139,152,160,163],"number":[7],"of":[8,41,71,91],"occupied":[9],"subbands":[10],"in":[11],"monitored":[13],"increases,":[15],"existing":[17],"sensing":[19,31,57,121,166],"approaches":[20],"have":[21],"to":[22,27,170],"raise":[23],"sampling":[25,79,112],"rate":[26],"maintain":[28],"a":[29,53,85,99,124,132,171],"desired":[30],"performance.":[32],"What":[33],"is":[34,94,146],"worse,":[35],"that":[36,95,148],"will":[37],"add":[38],"computational":[39,155],"complexity":[40,156],"following":[43],"signal":[44,74],"reconstruction.":[45],"To":[46],"overcome":[47],"this":[48,50],"issue,":[49],"paper":[51],"proposes":[52],"novel":[54,164],"approach":[58,65,93,122,150,167],"based":[59],"on":[60],"time-domain":[61],"coprime":[62,78,111],"sampling.":[63],"Our":[64],"first":[66],"estimates":[67],"power":[69],"by":[75,108,115,157,174],"employing":[76],"scheme,":[80],"then":[81],"performs":[82],"detection":[83],"via":[84],"subband-bin":[86],"energy":[87],"detector.":[88],"The":[89],"cornerstone":[90],"our":[92,118,149],"we":[96],"can":[97],"generate":[98],"Nyquist":[100],"space":[101],"sampled":[102],"autocorrelation":[103],"from":[104],"sub-Nyquist":[106],"samples":[107],"implementing":[109],"scheme.":[113],"Demonstrated":[114],"simulations,":[117],"proposed":[119],"has":[123,151],"better":[125,133,169],"performance":[126],"under":[127],"high":[128],"compression":[129],"ratio":[130],"and":[131],"robustness":[134],"against":[135],"noise":[136],"compared":[137],"with":[138],"orthogonal":[140],"matching":[141],"pursuit":[142],"(OMP).":[143],"Also":[144],"it":[145],"illustrated":[147],"advantage":[153],"over":[154],"analyzing.":[158],"Considering":[159],"merits":[161],"synthetically,":[162],"adapts":[168],"higher":[172],"bandwidth":[173],"comparision.":[175]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
