{"id":"https://openalex.org/W4390337133","doi":"https://doi.org/10.1109/icta60488.2023.10364319","title":"ViT - and LSTM-Based FMCW Radar Target Recognition System","display_name":"ViT - and LSTM-Based FMCW Radar Target Recognition System","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4390337133","doi":"https://doi.org/10.1109/icta60488.2023.10364319"},"language":"en","primary_location":{"id":"doi:10.1109/icta60488.2023.10364319","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icta60488.2023.10364319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","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":"https://openalex.org/A5018429555","display_name":"Sicheng He","orcid":"https://orcid.org/0000-0003-1307-4909"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sicheng He","raw_affiliation_strings":["School of Microelectronics, South China University of Technology,Guangzhou,China,511442"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology,Guangzhou,China,511442","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102239155","display_name":"Yanghang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghang Lin","raw_affiliation_strings":["School of Microelectronics, South China University of Technology,Guangzhou,China,511442"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology,Guangzhou,China,511442","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101441028","display_name":"Xiang Yi","orcid":"https://orcid.org/0000-0002-0330-737X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yi","raw_affiliation_strings":["School of Microelectronics, South China University of Technology,Guangzhou,China,511442"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology,Guangzhou,China,511442","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035510566","display_name":"Enyi Yao","orcid":"https://orcid.org/0000-0002-0019-2263"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyi Yao","raw_affiliation_strings":["School of Microelectronics, South China University of Technology,Guangzhou,China,511442"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology,Guangzhou,China,511442","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018429555"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0904007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987000226974487,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.996999979019165,"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":0.7640273571014404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6861679553985596},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6411141157150269},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6336734890937805},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.561420738697052},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5586070418357849},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.49832677841186523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.464504212141037},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45808306336402893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43674522638320923},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.43203485012054443},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13248321413993835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640273571014404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861679553985596},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6411141157150269},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6336734890937805},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.561420738697052},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5586070418357849},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.49832677841186523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.464504212141037},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45808306336402893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43674522638320923},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.43203485012054443},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13248321413993835},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icta60488.2023.10364319","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icta60488.2023.10364319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G4098890418","display_name":null,"funder_award_id":"62271215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6954217048","display_name":null,"funder_award_id":"2022B1515020039","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1517954459","https://openalex.org/W2531174837","https://openalex.org/W2625815504","https://openalex.org/W2922148914","https://openalex.org/W2947731326","https://openalex.org/W4226177171"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W2532305960","https://openalex.org/W4313855562","https://openalex.org/W2356511791","https://openalex.org/W2053819089","https://openalex.org/W2091422131","https://openalex.org/W3092878338","https://openalex.org/W2313413636","https://openalex.org/W2043430068"],"abstract_inverted_index":{"With":[0],"the":[1,7,33,49,69,89],"development":[2],"of":[3,9,53,74,86,91],"deep":[4],"learning":[5],"technology,":[6],"applications":[8],"millimeter":[10],"wave":[11],"radar":[12,21,50],"signal":[13],"processing":[14],"are":[15],"increasing.":[16],"This":[17],"study":[18],"proposes":[19],"a":[20],"target":[22,51],"recognition":[23,52],"(RTR)":[24],"system":[25,81],"for":[26,48],"range-Doppler":[27],"(RD)":[28],"maps":[29],"classification":[30,55,90],"based":[31],"on":[32],"visual":[34],"transformer":[35],"(ViT)":[36],"model,":[37],"which":[38,95],"combines":[39],"ViT":[40],"and":[41,63,71,93],"long":[42],"short":[43],"term":[44],"memory":[45],"(LSTM)":[46],"architecture":[47,59],"human-vehicle":[54],"scenario.":[56],"The":[57],"proposed":[58],"affords":[60],"good":[61],"accuracy":[62,84],"robustness":[64],"as":[65],"it":[66],"simultaneously":[67],"extracts":[68],"temporal":[70],"spatial":[72],"information":[73],"an":[75,83],"input":[76],"image":[77],"sequence.":[78],"Moreover,":[79],"this":[80],"achieves":[82],"rate":[85],"99.6%":[87],"in":[88],"humans":[92],"vehicles,":[94],"is":[96],"considerably":[97],"higher":[98],"than":[99],"that":[100],"obtained":[101],"through":[102],"traditional":[103],"convolutional":[104],"neural":[105],"network":[106],"(CNN)":[107],"method.":[108]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}