{"id":"https://openalex.org/W3209337022","doi":"https://doi.org/10.1109/taes.2021.3122411","title":"Model-Based Representation and Deinterleaving of Mixed Radar Pulse Sequences With Neural Machine Translation Network","display_name":"Model-Based Representation and Deinterleaving of Mixed Radar Pulse Sequences With Neural Machine Translation Network","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209337022","doi":"https://doi.org/10.1109/taes.2021.3122411","mag":"3209337022"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2021.3122411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3122411","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-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/A5009900666","display_name":"Mengtao Zhu","orcid":"https://orcid.org/0000-0003-0502-3386"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengtao Zhu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0502-3386","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966056","display_name":"Shafei Wang","orcid":"https://orcid.org/0000-0003-2830-9539"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shafei Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023531675","display_name":"Yunjie Li","orcid":"https://orcid.org/0000-0003-3721-0178"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Li","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3721-0178","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":3.926,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.943465,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"58","issue":"3","first_page":"1733","last_page":"1752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9919000267982483,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9865999817848206,"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/radar","display_name":"Radar","score":0.7331079244613647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244033575057983},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5493032336235046},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.5352685451507568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5123318433761597},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47837987542152405},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44445621967315674},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4388871192932129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3408626317977905},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2095867395401001},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0926893949508667}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7331079244613647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244033575057983},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5493032336235046},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.5352685451507568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5123318433761597},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47837987542152405},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44445621967315674},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4388871192932129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3408626317977905},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2095867395401001},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0926893949508667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2021.3122411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3122411","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3796935045","display_name":null,"funder_award_id":"61976019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8607756921","display_name":null,"funder_award_id":"61901032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1511910497","https://openalex.org/W1537066827","https://openalex.org/W1689711448","https://openalex.org/W1916279149","https://openalex.org/W1922746676","https://openalex.org/W1956647075","https://openalex.org/W1969015668","https://openalex.org/W1969572390","https://openalex.org/W1979008388","https://openalex.org/W1987763124","https://openalex.org/W1989730481","https://openalex.org/W1994635158","https://openalex.org/W1999550111","https://openalex.org/W1999681969","https://openalex.org/W2000424290","https://openalex.org/W2004967596","https://openalex.org/W2050919672","https://openalex.org/W2052501377","https://openalex.org/W2063146632","https://openalex.org/W2064675550","https://openalex.org/W2065186731","https://openalex.org/W2065506507","https://openalex.org/W2069890526","https://openalex.org/W2095705004","https://openalex.org/W2095894994","https://openalex.org/W2096292749","https://openalex.org/W2097289366","https://openalex.org/W2108777121","https://openalex.org/W2118312625","https://openalex.org/W2134465439","https://openalex.org/W2136280601","https://openalex.org/W2140242774","https://openalex.org/W2145042174","https://openalex.org/W2149429918","https://openalex.org/W2156393689","https://openalex.org/W2156845647","https://openalex.org/W2285280435","https://openalex.org/W2479936045","https://openalex.org/W2544056102","https://openalex.org/W2545680061","https://openalex.org/W2586840420","https://openalex.org/W2588597108","https://openalex.org/W2742305982","https://openalex.org/W2783620242","https://openalex.org/W2804614415","https://openalex.org/W2811404158","https://openalex.org/W2895211628","https://openalex.org/W2904891457","https://openalex.org/W2953485683","https://openalex.org/W2997791733","https://openalex.org/W2998826249","https://openalex.org/W2999990508","https://openalex.org/W3007858997","https://openalex.org/W3021364482","https://openalex.org/W3033198797","https://openalex.org/W3037226137","https://openalex.org/W3042758601","https://openalex.org/W3118957360","https://openalex.org/W3164071761","https://openalex.org/W3174003812","https://openalex.org/W4240260935","https://openalex.org/W4240612663","https://openalex.org/W4247848308","https://openalex.org/W6630754547","https://openalex.org/W6674330103","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W1852677413","https://openalex.org/W2353819887"],"abstract_inverted_index":{"Deinterleaving":[0],"mixtures":[1,51,147],"of":[2,25,40,52,62,79,91,165,177,180],"radar":[3,41,53],"pulse":[4,54,66,114,118,168,182,207],"sequences":[5,55,183],"is":[6,86,129],"the":[7,10,23,37,58,69,76,83,116,121,133,137,142,146,150,162,175,186,190],"first":[8],"and":[9,21,148,194,205,222],"most":[11],"vital":[12],"step":[13],"for":[14,49],"modern":[15],"electronic":[16],"reconnaissance":[17],"systems":[18,30],"to":[19,36,74,110,120,131,153,216],"intercept":[20],"analyze":[22],"intentions":[24],"noncooperative":[26],"radars.":[27],"Currently,":[28],"these":[29],"are":[31,72],"facing":[32],"great":[33],"challenges":[34],"due":[35],"emerging":[38],"complexity":[39],"modulations.":[42],"This":[43],"article":[44],"proposes":[45],"a":[46,89,92,102],"novel":[47],"method":[48,158,188,211],"deinterleaving":[50,84,192,220],"based":[56,173],"on":[57,174],"time":[59,176],"series":[60],"characteristics":[61,78],"each":[63,80,112,154,166],"source":[64,123,144],"(component":[65],"sequences).":[67],"First,":[68],"mathematical":[70],"representations":[71],"established":[73],"describe":[75],"structural":[77,134],"source.":[81],"Then,":[82],"problem":[85],"formulated":[87],"as":[88],"minimization":[90],"maximum-likelihood":[93],"cost":[94],"function":[95],"that":[96,185],"can":[97,212],"be":[98,213],"solved":[99],"efficiently":[100],"through":[101],"supervised":[103],"neural":[104],"machine":[105],"translation":[106],"(NMT)":[107],"network,":[108],"i.e.,":[109],"translate":[111],"received":[113],"in":[115,145],"interleaved":[117],"sequence":[119,179],"corresponding":[122,151],"label.":[124],"A":[125],"sequence-to-sequence":[126],"NMT":[127],"model":[128],"proposed":[130,157,187,210],"capture":[132],"relationships":[135],"among":[136],"nonadjacent":[138],"pulses":[139],"originated":[140],"from":[141],"same":[143],"assign":[149],"label":[152],"pulse.":[155],"The":[156,170,209],"does":[159],"not":[160],"require":[161],"exact":[163],"knowledge":[164],"component":[167],"sequence.":[169],"experimental":[171],"results":[172],"arrival":[178],"mixed":[181],"show":[184],"outperforms":[189],"state-of-the-art":[191],"methods":[193],"achieves":[195],"satisfactory":[196],"performance":[197],"under":[198],"highly":[199],"nonideal":[200],"situations":[201],"with":[202],"measuring":[203],"noise":[204],"lost":[206],"conditions.":[208,225],"directly":[214],"applied":[215],"other":[217],"fields":[218],"involving":[219],"problems":[221],"multivariate":[223],"input":[224]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
