{"id":"https://openalex.org/W3008765961","doi":"https://doi.org/10.1109/imcom48794.2020.9001727","title":"A Parallel Neural Network-based Scheme for Radar Emitter Recognition","display_name":"A Parallel Neural Network-based Scheme for Radar Emitter Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3008765961","doi":"https://doi.org/10.1109/imcom48794.2020.9001727","mag":"3008765961"},"language":"en","primary_location":{"id":"doi:10.1109/imcom48794.2020.9001727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5112421618","display_name":"Ha Phan Khanh Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ha Phan Khanh Nguyen","raw_affiliation_strings":["Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054795482","display_name":"Van Cao Long","orcid":"https://orcid.org/0000-0002-0885-302X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Long Do","raw_affiliation_strings":["Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080790024","display_name":"Quang Trung Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quang Trung Dong","raw_affiliation_strings":["Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Viettel Group, Viettel High Technology Industries Corporation, Hanoi, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112421618"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9279,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79738701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.7448357939720154},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7420514822006226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345223426818848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5928841233253479},{"id":"https://openalex.org/keywords/electronic-warfare","display_name":"Electronic warfare","score":0.5754246711730957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5562392473220825},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.42850732803344727},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4208522439002991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.370755672454834},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20026302337646484}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7448357939720154},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7420514822006226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345223426818848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5928841233253479},{"id":"https://openalex.org/C133082901","wikidata":"https://www.wikidata.org/wiki/Q272826","display_name":"Electronic warfare","level":3,"score":0.5754246711730957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562392473220825},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.42850732803344727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4208522439002991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370755672454834},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20026302337646484},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom48794.2020.9001727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":25,"referenced_works":["https://openalex.org/W107968503","https://openalex.org/W1564419782","https://openalex.org/W2045796918","https://openalex.org/W2071994185","https://openalex.org/W2104447904","https://openalex.org/W2118181666","https://openalex.org/W2130702324","https://openalex.org/W2146089072","https://openalex.org/W2150391795","https://openalex.org/W2165084942","https://openalex.org/W2284339649","https://openalex.org/W2469820260","https://openalex.org/W2552270896","https://openalex.org/W2591880439","https://openalex.org/W2602073161","https://openalex.org/W2614570116","https://openalex.org/W2792551306","https://openalex.org/W2912934387","https://openalex.org/W2922095411","https://openalex.org/W2997791733","https://openalex.org/W4212883601","https://openalex.org/W6604428989","https://openalex.org/W6661754587","https://openalex.org/W6681361418","https://openalex.org/W6720254080"],"related_works":["https://openalex.org/W2320244802","https://openalex.org/W3202506802","https://openalex.org/W4245828353","https://openalex.org/W755765519","https://openalex.org/W560078765","https://openalex.org/W1709888430","https://openalex.org/W2143358154","https://openalex.org/W4389910770","https://openalex.org/W2107617581","https://openalex.org/W2171702250"],"abstract_inverted_index":{"Passive":[0],"radar":[1,22,58,78,86],"systems":[2,31],"are":[3,94,105],"used":[4],"in":[5,125,132],"the":[6,45,53,74,110],"military":[7],"for":[8,32,73],"intelligence":[9],"gathering,":[10],"threat":[11],"detection":[12],"and":[13,85,130],"as":[14,50,52],"a":[15,26,65],"support":[16],"to":[17,44,108,117],"electronic":[18],"attack":[19],"systems.":[20],"Therefore,":[21],"emitter":[23],"recognition":[24,75,128],"is":[25,41],"crucial":[27],"task":[28],"of":[29,35,56,76,96,103,127],"reconnaissance":[30],"accurately":[33],"identification":[34],"hostile":[36],"threats.":[37],"However,":[38],"this":[39,61],"problem":[40],"challenging":[42],"due":[43],"complicated":[46],"noisy":[47,134],"electromagnetic":[48],"environment":[49],"well":[51],"increasing":[54],"complexity":[55],"modern":[57],"signals.":[59],"In":[60,80],"paper,":[62],"we":[63],"introduce":[64],"novel":[66],"deep":[67],"neural":[68],"network-based":[69],"scheme,":[70],"named":[71],"ParallelNet":[72,120],"different":[77],"types.":[79],"our":[81],"approach,":[82],"I/Q":[83],"samples":[84],"pulse":[87],"features":[88],"extracted":[89],"from":[90],"received":[91],"wideband":[92],"signal":[93],"inputs":[95],"two":[97],"parallel":[98],"sub-neural":[99],"networks.":[100],"The":[101],"outputs":[102],"sub-networks":[104],"subsequently":[106],"combined":[107],"deduce":[109],"classification":[111],"result.":[112],"We":[113],"realize":[114],"extensive":[115],"simulations":[116],"show":[118],"that":[119],"achieves":[121],"an":[122],"outstanding":[123],"performance":[124],"terms":[126],"accuracy":[129],"robustness":[131],"severely":[133],"conditions.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
