{"id":"https://openalex.org/W7084030956","doi":"https://doi.org/10.1109/icc52391.2025.11161070","title":"PinpuNet: Towards ISAC-Based Drone Monitoring by Learning Micro-Doppler Spectrum","display_name":"PinpuNet: Towards ISAC-Based Drone Monitoring by Learning Micro-Doppler Spectrum","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W7084030956","doi":"https://doi.org/10.1109/icc52391.2025.11161070"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-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":"Yige Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yige Luo","raw_affiliation_strings":["Riemann Laboratory, 2012 Laboratories,Huawei"],"affiliations":[{"raw_affiliation_string":"Riemann Laboratory, 2012 Laboratories,Huawei","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qianqian Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Zhu","raw_affiliation_strings":["Riemann Laboratory, 2012 Laboratories,Huawei"],"affiliations":[{"raw_affiliation_string":"Riemann Laboratory, 2012 Laboratories,Huawei","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ran Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Guan","raw_affiliation_strings":["Riemann Laboratory, 2012 Laboratories,Huawei"],"affiliations":[{"raw_affiliation_string":"Riemann Laboratory, 2012 Laboratories,Huawei","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7642014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6007","last_page":"6012"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6668999791145325,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6668999791145325,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.02410000003874302,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.019099999219179153,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.9894999861717224},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5220000147819519},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45419999957084656},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.33169999718666077},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31940001249313354}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9894999861717224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190999746322632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5708000063896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406000018119812},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36899998784065247},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.272599995136261},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2153594606","https://openalex.org/W2420956047","https://openalex.org/W2776992279","https://openalex.org/W2783975743","https://openalex.org/W2901567850","https://openalex.org/W3018508273","https://openalex.org/W3044875250","https://openalex.org/W3046956326","https://openalex.org/W3110989801","https://openalex.org/W3152301406","https://openalex.org/W3157995327","https://openalex.org/W3174351785","https://openalex.org/W4387870177"],"related_works":[],"abstract_inverted_index":{"Monitoring":[0],"non-cooperative":[1],"drones":[2],"and,":[3],"by":[4],"extension,":[5],"other":[6],"traffic":[7],"elements":[8],"is":[9,40,45,55],"one":[10],"major":[11],"use":[12],"case":[13],"of":[14],"future":[15],"Integrated":[16],"Sensing":[17],"and":[18,97,110],"Communication":[19],"(ISAC)":[20],"for":[21],"6":[22],"G.":[23],"In":[24],"our":[25],"attempt":[26],"to":[27,43,58,78,108],"realise":[28],"an":[29],"ISAC-based":[30],"drone":[31,62,80,93,99],"monitoring":[32],"system,":[33],"we":[34,71],"found":[35],"that":[36,51],"conventional":[37],"micro-Doppler":[38],"analysis":[39],"highly":[41,83],"susceptible":[42],"what":[44],"coined":[46],"as":[47],"the":[48,52,68,98],"smearing":[49,69],"effect":[50],"backscattered":[53,94],"signal":[54,95],"blurred":[56],"due":[57],"various":[59],"reasons,":[60],"rendering":[61],"target":[63],"detection":[64],"intractable.":[65],"To":[66],"mitigate":[67],"effect,":[70],"proposed":[72],"PinpuNet,":[73],"a":[74,91,103],"data-driven":[75],"learning":[76,113],"network,":[77],"extract":[79],"signatures":[81],"from":[82],"noisy":[84],"microDoppler":[85],"spectrograms.":[86],"We":[87],"evaluated":[88],"PinpuNet":[89],"on":[90],"public":[92],"dataset":[96],"classification":[100],"result":[101],"shows":[102],"substantially":[104],"improved":[105],"accuracy":[106],"compared":[107],"generic":[109],"commonly":[111],"used":[112],"networks.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
