{"id":"https://openalex.org/W4413785589","doi":"https://doi.org/10.1109/tccn.2025.3602799","title":"Drone Remote Identification Based on Zadoff-Chu Sequences and Time-Frequency Images","display_name":"Drone Remote Identification Based on Zadoff-Chu Sequences and Time-Frequency Images","publication_year":2025,"publication_date":"2025-08-28","ids":{"openalex":"https://openalex.org/W4413785589","doi":"https://doi.org/10.1109/tccn.2025.3602799"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3602799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3602799","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.02844","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jie Li","orcid":"https://orcid.org/0009-0007-7750-8653"},"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":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336905","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-2469-1374"},"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":"Jing Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057681984","display_name":"Lu Lv","orcid":"https://orcid.org/0000-0002-7609-079X"},"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":"Lu Lv","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110161905","display_name":"P. Zhang","orcid":"https://orcid.org/0009-0002-9942-6425"},"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":"Peixin Zhang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034754948","display_name":"Fengkui Gong","orcid":"https://orcid.org/0000-0002-4211-0959"},"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":"Fengkui Gong","raw_affiliation_strings":["State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Network, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20910936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1634","last_page":"1648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9706000089645386,"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"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9706000089645386,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9629999995231628,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9542999863624573,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7270379066467285},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6431905031204224},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5627378821372986},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5535293221473694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3893243074417114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38917943835258484},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3884936273097992},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3015397787094116},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.135087788105011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270379066467285},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6431905031204224},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5627378821372986},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5535293221473694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3893243074417114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38917943835258484},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3884936273097992},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3015397787094116},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.135087788105011},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tccn.2025.3602799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3602799","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"},{"id":"pmh:oai:arXiv.org:2504.02844","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.02844","pdf_url":"https://arxiv.org/pdf/2504.02844","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.02844","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.02844","pdf_url":"https://arxiv.org/pdf/2504.02844","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1633902126","display_name":null,"funder_award_id":"YJSJ25007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6747170265","display_name":null,"funder_award_id":"62271368","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G94694677","display_name":null,"funder_award_id":"2023-YBGY-041","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"algorithm":[3,135,160],"based":[4],"on":[5],"Zadoff-Chu":[6],"(ZC)":[7],"sequences":[8,39,53],"and":[9,25,44,54,97,123,176],"time-frequency":[10],"images":[11],"(TFI)":[12],"to":[13,57,76,147],"achieve":[14,77],"drone":[15,29,55,78],"remote":[16],"identification":[17],"(RID).":[18],"Specifically,":[19],"by":[20,92,142],"analyzing":[21,93],"the":[22,87,94,102,133,137],"modulation":[23,98],"parameters":[24],"frame":[26,95],"structures":[27,96],"of":[28,86,114,155],"radio-frequency":[30],"(RF)":[31],"signals,":[32],"we":[33],"extract":[34],"prior":[35],"information":[36,75],"about":[37],"ZC":[38,52,59,64],"with":[40,69],"remarkable":[41],"correlation":[42],"properties":[43],"robustness.":[45],"Cross-correlation":[46],"is":[47,90],"performed":[48,91],"between":[49],"locally":[50],"generated":[51],"signals":[56],"derive":[58],"sequence-based":[60],"features.":[61],"Then,":[62],"these":[63],"sequence":[65],"features":[66,71,89],"are":[67,112,127],"fused":[68],"TFI":[70],"containing":[72],"communication":[73],"protocol":[74],"RID.":[79],"To":[80],"reduce":[81],"computational":[82],"costs,":[83],"data":[84],"reduction":[85],"cross-correlation":[88],"parameters,":[99],"ensuring":[100],"that":[101,111,132],"feature":[103,108,120,124],"performance":[104],"remained":[105],"unaffected.":[106],"Three":[107],"fusion":[109],"methods":[110],"independent":[113],"model":[115],"architectures,":[116],"namely":[117],"probability-weighted":[118],"addition,":[119,122],"vector":[121,125],"concatenation,":[126],"analyzed.":[128],"Simulation":[129],"results":[130],"demonstrate":[131],"proposed":[134,159],"improves":[136],"RID":[138,153],"average":[139],"evaluation":[140],"metrics":[141],"at":[143],"least":[144],"2.27%":[145],"compared":[146],"existing":[148],"algorithms,":[149],"which":[150],"have":[151],"a":[152],"latency":[154],"0.3172":[156],"s.":[157],"The":[158],"also":[161],"exhibits":[162],"strong":[163],"robustness":[164],"under":[165],"varying":[166],"flight":[167],"distances,":[168],"diverse":[169],"visual":[170],"environments,":[171],"different":[172],"background":[173],"noise":[174],"levels,":[175],"multi-drone":[177],"coexistence":[178],"scenarios.":[179]},"counts_by_year":[],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
