{"id":"https://openalex.org/W4200468801","doi":"https://doi.org/10.1109/ictc52510.2021.9620950","title":"Deep Learning for Coexistence Radar-Communication Waveform Recognition","display_name":"Deep Learning for Coexistence Radar-Communication Waveform Recognition","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W4200468801","doi":"https://doi.org/10.1109/ictc52510.2021.9620950"},"language":"en","primary_location":{"id":"doi:10.1109/ictc52510.2021.9620950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc52510.2021.9620950","pdf_url":null,"source":{"id":"https://openalex.org/S4363607766","display_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5059877507","display_name":"Thien Huynh\u2010The","orcid":"https://orcid.org/0000-0002-9172-2935"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Thien Huynh-The","raw_affiliation_strings":["ICT Convergence Research Center, Kumoh National Institute of Technology, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICT Convergence Research Center, Kumoh National Institute of Technology, Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062525719","display_name":"Quoc\u2010Viet Pham","orcid":"https://orcid.org/0000-0002-9485-9216"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Quoc-Viet Pham","raw_affiliation_strings":["Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021007706","display_name":"Toan-Van Nguyen","orcid":"https://orcid.org/0000-0002-1968-8170"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Toan-Van Nguyen","raw_affiliation_strings":["Hongik University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University, Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102829948","display_name":"Dong\u2010Seong Kim","orcid":"https://orcid.org/0000-0002-2977-5964"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Seong Kim","raw_affiliation_strings":["ICT Convergence Research Center, Kumoh National Institute of Technology, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICT Convergence Research Center, Kumoh National Institute of Technology, Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.991100013256073,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9693999886512756,"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/computer-science","display_name":"Computer science","score":0.7719939351081848},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6921321153640747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.673930823802948},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5622865557670593},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5604405999183655},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5597271919250488},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5173613429069519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5005624294281006},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4754319190979004},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4636795222759247},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4455104470252991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17016354203224182},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12709644436836243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719939351081848},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6921321153640747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.673930823802948},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5622865557670593},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5604405999183655},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5597271919250488},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5173613429069519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5005624294281006},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4754319190979004},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4636795222759247},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4455104470252991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17016354203224182},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12709644436836243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc52510.2021.9620950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc52510.2021.9620950","pdf_url":null,"source":{"id":"https://openalex.org/S4363607766","display_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4590546040","display_name":null,"funder_award_id":"2018R1A6A1A03024003,IITP-2020-2020-0-01612","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2166885082","https://openalex.org/W2194775991","https://openalex.org/W2591880439","https://openalex.org/W2901654183","https://openalex.org/W2955425717","https://openalex.org/W2972757045","https://openalex.org/W2980459602","https://openalex.org/W2983131442","https://openalex.org/W2993484807","https://openalex.org/W3000943722","https://openalex.org/W3036710224","https://openalex.org/W3113059984","https://openalex.org/W3133982043","https://openalex.org/W3158385995","https://openalex.org/W3172195905","https://openalex.org/W3182500101","https://openalex.org/W6684478373","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2147697413","https://openalex.org/W2154063878","https://openalex.org/W4231274751","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2904870937"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,70,96],"deep":[4,44],"learning-based":[5],"method":[6,82],"to":[7,30,60],"automatically":[8],"recognize":[9],"the":[10,67,80,84],"waveform":[11],"types":[12],"of":[13,73,88],"wireless":[14],"signals":[15,32],"in":[16,33],"coexistence":[17],"radar-communication":[18],"systems.":[19],"In":[20],"this":[21],"method,":[22],"we":[23],"leverage":[24],"smooth":[25],"pseudo":[26],"Wigner-Ville":[27],"distribution":[28],"(SPWVD)":[29],"analyze":[31],"time":[34],"and":[35,39,57,77,94],"frequency":[36],"domains":[37],"concurrently,":[38],"then":[40],"design":[41],"an":[42],"efficient":[43],"convolutional":[45],"neural":[46],"network":[47],"(CNN)":[48],"with":[49],"several":[50],"processing":[51],"blocks":[52],"which":[53],"integrate":[54],"residual":[55],"connection":[56,59],"attention":[58],"improve":[61],"feature":[62],"learning":[63],"efficiency.":[64],"Based":[65],"on":[66,69],"simulations":[68],"synthetic":[71],"dataset":[72],"eight":[74],"common":[75],"radar":[76],"communication":[78],"waveforms,":[79],"proposed":[81],"achieves":[83],"average":[85],"recognition":[86],"accuracy":[87],"97.59%":[89],"at":[90],"30":[91],"dB":[92],"SNR":[93],"outperforms":[95],"Fuzzy":[97],"support":[98],"vector":[99],"machine":[100],"approach":[101],"by":[102],"approximately":[103],"17.36%.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}