{"id":"https://openalex.org/W7147319982","doi":"https://doi.org/10.1109/icvisp68610.2025.11451701","title":"Multi-Function Radar Work Mode Recognition Based on Extended Long Short-Term Memory Network","display_name":"Multi-Function Radar Work Mode Recognition Based on Extended Long Short-Term Memory Network","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147319982","doi":"https://doi.org/10.1109/icvisp68610.2025.11451701"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5132599518","display_name":"Zihan Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Ni","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132567106","display_name":"Mou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mou Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132664196","display_name":"Xianxiang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxiang Yu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132599947","display_name":"Guolong Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolong Cui","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132672680","display_name":"Lingjiang Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjiang Kong","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5132599518"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86865355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6546000242233276,"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":0.6546000242233276,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.23170000314712524,"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":0.029600000008940697,"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/radar","display_name":"Radar","score":0.6769999861717224},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5253999829292297},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4821999967098236},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4699999988079071},{"id":"https://openalex.org/keywords/electronic-warfare","display_name":"Electronic warfare","score":0.4625999927520752},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45170000195503235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4196999967098236},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4124999940395355},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4074000120162964}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6769999861717224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5400999784469604},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5253999829292297},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4699999988079071},{"id":"https://openalex.org/C133082901","wikidata":"https://www.wikidata.org/wiki/Q272826","display_name":"Electronic warfare","level":3,"score":0.4625999927520752},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4196999967098236},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4009000062942505},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.39899998903274536},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.3946000039577484},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C64183698","wikidata":"https://www.wikidata.org/wiki/Q4530886","display_name":"Electromagnetic environment","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C101457746","wikidata":"https://www.wikidata.org/wiki/Q560430","display_name":"Radar cross-section","level":3,"score":0.3125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30559998750686646},{"id":"https://openalex.org/C84236424","wikidata":"https://www.wikidata.org/wiki/Q1028695","display_name":"Fire-control radar","level":5,"score":0.29660001397132874},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2928999960422516},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C173028925","wikidata":"https://www.wikidata.org/wiki/Q7831461","display_name":"Track-before-detect","level":4,"score":0.2897000014781952},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.27720001339912415},{"id":"https://openalex.org/C2984296375","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar systems","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.26420000195503235},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1999681969","https://openalex.org/W2095894994","https://openalex.org/W2108777121","https://openalex.org/W2129217160","https://openalex.org/W2136280601","https://openalex.org/W2194775991","https://openalex.org/W3007858997","https://openalex.org/W4250482878","https://openalex.org/W4415795940"],"related_works":[],"abstract_inverted_index":{"In":[0],"modern":[1],"battlefield":[2],"scenarios,":[3],"the":[4,10,49,71,79,100,106,143,162],"rapid":[5],"and":[6,31,88,112,135],"accurate":[7],"identification":[8],"of":[9,13,18,51,82,92,105,153,161],"work":[11,65,84,118,149],"modes":[12,85,119],"enemy":[14],"multi-functional":[15,62],"radars":[16],"is":[17,96,120,156],"great":[19],"significance":[20],"for":[21,94,116],"achieving":[22],"victory.":[23],"However,":[24],"in":[25],"complex":[26],"electromagnetic":[27],"environments,":[28],"signal":[29,35],"overlap":[30],"residual":[32],"interference":[33],"from":[34],"sorting":[36],"can":[37],"lead":[38],"to":[39],"impure":[40],"Pulse":[41],"Description":[42],"Word":[43],"(PDW)":[44],"parameter":[45],"sets,":[46],"which":[47,155],"affects":[48],"reliability":[50],"subsequent":[52],"processing.":[53],"To":[54],"address":[55],"these":[56],"issues,":[57],"this":[58],"paper":[59],"proposes":[60],"a":[61,89,110,147],"radar":[63,83,148],"(MFR)":[64],"mode":[66,150],"recognition":[67,114,151],"method":[68,145],"based":[69],"on":[70],"Extended":[72],"Long":[73,163],"Short-Term":[74,164],"Memory":[75,165],"(xLSTM)":[76],"network.":[77],"First,":[78],"waveform":[80],"characteristics":[81],"are":[86,125],"analyzed,":[87],"sample":[90],"dataset":[91],"PDWs":[93],"MFR":[95,117],"constructed.":[97],"Then,":[98],"leveraging":[99],"temporal":[101],"feature":[102],"extraction":[103],"capability":[104],"xLSTM":[107],"network":[108],"model,":[109],"high-efficiency":[111],"high-accuracy":[113],"algorithm":[115],"designed.":[121],"Finally,":[122],"simulation":[123],"tests":[124],"conducted":[126],"under":[127],"non-ideal":[128],"conditions,":[129],"including":[130],"measurement":[131],"noise,":[132],"pulse":[133],"loss,":[134],"false":[136],"pulses.":[137],"The":[138],"experimental":[139],"results":[140],"show":[141],"that":[142,160],"proposed":[144],"achieves":[146],"accuracy":[152],"95.25%,":[154],"8.25%":[157],"higher":[158],"than":[159],"(LSTM)":[166],"model.":[167]},"counts_by_year":[],"updated_date":"2026-04-14T06:02:45.956762","created_date":"2026-04-02T00:00:00"}