{"id":"https://openalex.org/W4312883190","doi":"https://doi.org/10.1109/tccn.2022.3214242","title":"Robust Spectrum Sensing Based on Phase Difference Distribution","display_name":"Robust Spectrum Sensing Based on Phase Difference Distribution","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4312883190","doi":"https://doi.org/10.1109/tccn.2022.3214242"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2022.3214242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2022.3214242","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/A5013876756","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-3581-9644"},"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":true,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059494893","display_name":"Wenjun Xu","orcid":"https://orcid.org/0000-0001-8767-4742"},"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"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Xu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080094775","display_name":"Fengyu Wang","orcid":"https://orcid.org/0000-0002-5485-9414"},"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":"Fengyu Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091040593","display_name":"Xiaoqi Qin","orcid":"https://orcid.org/0000-0002-5788-0657"},"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":"Xiaoqi Qin","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008846998","display_name":"Nan Ma","orcid":"https://orcid.org/0000-0002-2302-7148"},"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":"Nan Ma","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013876756"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6907,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71924008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"28","last_page":"42"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.7258044481277466},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6998918056488037},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.524273157119751},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5061699748039246},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5060989260673523},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.44902855157852173},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4432525634765625},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.4424494504928589},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.3693055510520935},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35774609446525574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32222890853881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23223483562469482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21812644600868225},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.1559225618839264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13262289762496948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07587540149688721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258044481277466},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6998918056488037},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.524273157119751},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5061699748039246},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5060989260673523},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.44902855157852173},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4432525634765625},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.4424494504928589},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.3693055510520935},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35774609446525574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32222890853881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23223483562469482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21812644600868225},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.1559225618839264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13262289762496948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07587540149688721},{"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2022.3214242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2022.3214242","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/G1811992443","display_name":null,"funder_award_id":"61871057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5852264781","display_name":null,"funder_award_id":"61790553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6294083233","display_name":null,"funder_award_id":"2019YFC1511302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6781623049","display_name":null,"funder_award_id":"CNS-2107057","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W206624357","https://openalex.org/W2014274742","https://openalex.org/W2029911620","https://openalex.org/W2047515083","https://openalex.org/W2070225786","https://openalex.org/W2103586998","https://openalex.org/W2113079346","https://openalex.org/W2125544833","https://openalex.org/W2134230109","https://openalex.org/W2157394606","https://openalex.org/W2168768030","https://openalex.org/W2168785037","https://openalex.org/W2172139273","https://openalex.org/W2240552610","https://openalex.org/W2292223444","https://openalex.org/W2315320425","https://openalex.org/W2335894546","https://openalex.org/W2602419036","https://openalex.org/W2686075717","https://openalex.org/W2738538347","https://openalex.org/W2766000225","https://openalex.org/W2786168957","https://openalex.org/W2795002836","https://openalex.org/W2883007304","https://openalex.org/W2905574772","https://openalex.org/W2942170392","https://openalex.org/W2946593573","https://openalex.org/W2968406963","https://openalex.org/W2971778960","https://openalex.org/W2976021085","https://openalex.org/W2979342734","https://openalex.org/W2980231524","https://openalex.org/W2982286025","https://openalex.org/W3004175287","https://openalex.org/W3010867338","https://openalex.org/W3035433808","https://openalex.org/W3035453691","https://openalex.org/W3082926577","https://openalex.org/W3100174306","https://openalex.org/W3187692631","https://openalex.org/W3188553846","https://openalex.org/W4233343816"],"related_works":["https://openalex.org/W2116044594","https://openalex.org/W2101999641","https://openalex.org/W1503152075","https://openalex.org/W301676527","https://openalex.org/W2052600062","https://openalex.org/W2124541664","https://openalex.org/W289296924","https://openalex.org/W2122920812","https://openalex.org/W2076148615","https://openalex.org/W2942696422"],"abstract_inverted_index":{"In":[0],"the":[1,27,57,73,81,108,115,163,173,182,185],"era":[2],"of":[3,91,111,120,184],"5G":[4],"and":[5,52,68,101,104,117,135,161],"beyond,":[6],"massive":[7],"wireless":[8],"connectivity":[9],"will":[10,32],"be":[11],"further":[12,151],"intensified,":[13],"leading":[14],"to":[15,25,49,65,143],"more":[16,35],"severe":[17],"spectrum":[18,28,30,145],"shortages.":[19],"Therefore,":[20],"as":[21],"a":[22,34],"promising":[23],"way":[24],"solve":[26],"shortage,":[29],"sensing":[31,40,62,126,156],"play":[33],"vital":[36],"role.":[37],"However,":[38],"traditional":[39],"schemes":[41,63,187],"are":[42,47],"not":[43],"adequate":[44],"since":[45],"they":[46],"sensitive":[48],"noise":[50,66,99],"uncertainty":[51,67,100],"frequency":[53,69,102,160,165],"mismatch.":[54],"To":[55],"address":[56],"problem,":[58],"we":[59,79,123],"propose":[60,124,162],"two":[61,125],"robust":[64],"mismatch":[70,103],"by":[71,98],"leveraging":[72,114],"phase":[74],"difference":[75],"(PD)":[76],"distribution.":[77],"First,":[78],"derive":[80],"approximate":[82],"PD":[83,109,121,129,136],"distribution":[84,110,130,137],"under":[85],"Rayleigh":[86],"fading":[87],"channels.":[88],"It":[89],"consists":[90],"cosine":[92,138],"components,":[93],"which":[94],"is":[95,177,188],"hardly":[96],"affected":[97],"differs":[105],"significantly":[106],"from":[107],"noise.":[112],"Afterwards,":[113],"geometric":[116],"algebraic":[118],"features":[119],"distribution,":[122],"schemes,":[127],"including":[128],"shape":[131],"recognition":[132,140],"detection":[133,141],"(SRD)":[134],"feature":[139],"(CRD),":[142],"detect":[144],"holes":[146],"with":[147,158],"known":[148],"CF.":[149],"We":[150],"improve":[152],"them":[153],"for":[154],"blind":[155],"scenarios":[157],"unknown":[159],"PD-based":[164],"estimation":[166],"scheme.":[167],"Simulation":[168],"results":[169],"show":[170],"that":[171],"when":[172],"signal-to-noise":[174],"ratio":[175],"(SNR)":[176],"lower":[178],"than":[179,191],"0":[180],"dB,":[181],"robustness":[183],"proposed":[186],"much":[189],"higher":[190],"benchmarks.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}