{"id":"https://openalex.org/W7125135089","doi":"https://doi.org/10.1109/tccn.2026.3656289","title":"Collaborative Multi-Target Detection in Cognitive Frequency Hopping Systems","display_name":"Collaborative Multi-Target Detection in Cognitive Frequency Hopping Systems","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125135089","doi":"https://doi.org/10.1109/tccn.2026.3656289"},"language":null,"primary_location":{"id":"doi:10.1109/tccn.2026.3656289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3656289","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":null,"display_name":"Rui Gao","orcid":"https://orcid.org/0000-0001-7353-6357"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Gao","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112933275","display_name":"Xuechun Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechun Yan","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009796023","display_name":"Jiangbo Si","orcid":"https://orcid.org/0000-0002-7419-4042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Si","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12885481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"5566","last_page":"5577"},"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":0.6692000031471252,"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":0.6692000031471252,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.18389999866485596,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.03460000082850456,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7148000001907349},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6225000023841858},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.6207000017166138},{"id":"https://openalex.org/keywords/frequency-hopping-spread-spectrum","display_name":"Frequency-hopping spread spectrum","score":0.6162999868392944},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5770000219345093},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46239998936653137},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4603999853134155},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4498000144958496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195000290870667},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7148000001907349},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6225000023841858},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.6207000017166138},{"id":"https://openalex.org/C122962297","wikidata":"https://www.wikidata.org/wiki/Q1136013","display_name":"Frequency-hopping spread spectrum","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5770000219345093},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4603999853134155},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3718999922275543},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3504999876022339},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27390000224113464},{"id":"https://openalex.org/C8590192","wikidata":"https://www.wikidata.org/wiki/Q1054694","display_name":"Frequency response","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2026.3656289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3656289","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/G2089194826","display_name":null,"funder_award_id":"U25A20396","funder_id":"https://openalex.org/F4320336808","funder_display_name":"National Natural Science Foundation of China-Nuclear Technology Innovation Joint Fund"},{"id":"https://openalex.org/G7646102200","display_name":null,"funder_award_id":"SJCX24_2221","funder_id":"https://openalex.org/F4320334982","funder_display_name":"Basic Research Program of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320334982","display_name":"Basic Research Program of Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320336808","display_name":"National Natural Science Foundation of China-Nuclear Technology Innovation Joint Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1993666785","https://openalex.org/W2074336288","https://openalex.org/W2094346211","https://openalex.org/W2110567841","https://openalex.org/W2113564495","https://openalex.org/W2160317090","https://openalex.org/W2164233625","https://openalex.org/W2171461950","https://openalex.org/W2172139273","https://openalex.org/W2319282389","https://openalex.org/W2398781343","https://openalex.org/W2551956255","https://openalex.org/W2579288971","https://openalex.org/W2778888845","https://openalex.org/W2784329950","https://openalex.org/W2886600306","https://openalex.org/W2898581912","https://openalex.org/W2945976256","https://openalex.org/W2976523583","https://openalex.org/W2981026541","https://openalex.org/W2999946309","https://openalex.org/W3045153201","https://openalex.org/W3086466038","https://openalex.org/W3120787909","https://openalex.org/W3169712129","https://openalex.org/W4312409121","https://openalex.org/W4389232749","https://openalex.org/W4392543756","https://openalex.org/W4401748136"],"related_works":[],"abstract_inverted_index":{"In":[0],"cognitive":[1],"frequency":[2,53,75],"hopping":[3],"(CFH)":[4],"systems,":[5],"signal":[6,36],"detection":[7,37,97,137,146,160],"in":[8,41,46,67,124,139],"complex":[9,129],"electromagnetic":[10,130],"environments":[11,69,141],"is":[12,78,110],"a":[13,51,72,145],"key":[14],"challenge":[15],"to":[16,21,86,156],"the":[17,30,58,105,116,121,163],"conventional":[18],"algorithms.":[19],"Due":[20],"multi-target":[22,65],"signals,":[23],"dynamically":[24],"varying":[25],"noise,":[26],"shadowing":[27],"effects":[28],"and":[29,104,118],"hidden":[31],"terminal":[32],"phenomenon,":[33],"most":[34],"existing":[35],"methods":[38,123,161],"are":[39],"limited":[40],"applications.":[42],"Motivated":[43],"by":[44],"these,":[45],"this":[47],"paper,":[48],"we":[49],"propose":[50],"wideband":[52,74,158],"fitting":[54,76],"algorithm":[55,77],"based":[56],"on":[57],"Kolmogorov-Smirnov":[59],"second-order":[60],"test,":[61],"that":[62],"can":[63],"detect":[64],"signals":[66],"dynamic":[68],"effectively.":[70],"Subsequently,":[71],"collaborative":[73],"proposed,":[79],"which":[80],"utilizes":[81],"Fisher\u2019s":[82],"combined":[83],"probability":[84,138,147],"test":[85],"integrate":[87],"detecting":[88],"outcomes":[89],"from":[90],"multiple":[91],"distributed":[92],"nodes,":[93],"thereby":[94],"substantially":[95],"improving":[96],"reliability.":[98],"Performance":[99],"analysis":[100],"including":[101],"computational":[102],"complexity":[103],"effect":[106],"of":[107,120,149],"channel":[108],"impairments":[109],"further":[111],"provided.":[112],"Simulation":[113],"results":[114],"validate":[115],"efficiency":[117],"robustness":[119],"proposed":[122],"practical":[125],"CFH":[126],"systems":[127],"under":[128,162],"conditions,":[131],"not":[132],"only":[133],"maintaining":[134],"an":[135],"unchanged":[136],"such":[140],"but":[142],"also":[143],"demonstrating":[144],"improvement":[148],"3\u20137%":[150],"at":[151],"low":[152],"signal-to-noise":[153],"ratio":[154],"compared":[155],"recent":[157],"blind":[159],"specified":[164],"simulation":[165],"conditions.":[166]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-22T00:00:00"}