{"id":"https://openalex.org/W4404486475","doi":"https://doi.org/10.1109/tim.2024.3500053","title":"A Novel Pulse Stream Representation and Affinity Measurement Strategy for Radar Recognition With Distribution Pattern Mining","display_name":"A Novel Pulse Stream Representation and Affinity Measurement Strategy for Radar Recognition With Distribution Pattern Mining","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404486475","doi":"https://doi.org/10.1109/tim.2024.3500053"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3500053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3500053","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5102888217","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-0656-2496"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0656-2496","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005766295","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0002-3130-6243"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Tang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3130-6243","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661416","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-2653-1355"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2653-1355","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103861470","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0003-2001-3944"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2001-3944","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115444850","display_name":"Lei Xue","orcid":"https://orcid.org/0009-0002-7355-9668"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xue","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0002-7355-9668","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.8182,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72368494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9381999969482422,"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"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9381999969482422,"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"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9120000004768372,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6379194259643555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5297739505767822},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5261768102645874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49060264229774475},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.4551520347595215},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4396754503250122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.439306378364563},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4204181134700775},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37995606660842896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3570040464401245},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24899399280548096},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16823279857635498}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6379194259643555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5297739505767822},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5261768102645874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49060264229774475},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.4551520347595215},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4396754503250122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439306378364563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4204181134700775},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37995606660842896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3570040464401245},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24899399280548096},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16823279857635498},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3500053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3500053","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5437271206","display_name":null,"funder_award_id":"23-ZZCX-JDZ-42","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"},{"id":"https://openalex.org/G6322003488","display_name":null,"funder_award_id":"62171450","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7786175543","display_name":null,"funder_award_id":"62201602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G807237843","display_name":null,"funder_award_id":"2108085J30","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1999681969","https://openalex.org/W2015815072","https://openalex.org/W2065186731","https://openalex.org/W2069890526","https://openalex.org/W2105767494","https://openalex.org/W2108777121","https://openalex.org/W2116717356","https://openalex.org/W2340258819","https://openalex.org/W2594396939","https://openalex.org/W2618530766","https://openalex.org/W2797321382","https://openalex.org/W2895211628","https://openalex.org/W2929552922","https://openalex.org/W3003529661","https://openalex.org/W3021364482","https://openalex.org/W3026999846","https://openalex.org/W3034171073","https://openalex.org/W3132455321","https://openalex.org/W3164071761","https://openalex.org/W3174436187","https://openalex.org/W3183723413","https://openalex.org/W3209337022","https://openalex.org/W4224032795","https://openalex.org/W4226494393","https://openalex.org/W4367721714","https://openalex.org/W4376880187","https://openalex.org/W4382322788","https://openalex.org/W4384519018","https://openalex.org/W4386003686","https://openalex.org/W4388205953","https://openalex.org/W4388848246","https://openalex.org/W4392172978","https://openalex.org/W6728567691"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W3014038144","https://openalex.org/W1983629434","https://openalex.org/W2356110154","https://openalex.org/W1984273593","https://openalex.org/W4313855562","https://openalex.org/W2091422131","https://openalex.org/W2742737769"],"abstract_inverted_index":{"The":[0],"dynamic":[1],"and":[2,30,62,81,93,116,157,168],"agile":[3],"pulse":[4,27,59,90,114],"stream":[5,28,91,115],"emitted":[6],"by":[7],"modern":[8],"multifunction":[9],"radar":[10,35,96],"(MFR)":[11],"poses":[12],"a":[13,25,46],"great":[14],"challenge":[15],"to":[16,51,86,136],"its":[17],"recognition.":[18,99,138],"To":[19,41],"solve":[20],"this":[21,42],"problem,":[22],"we":[23,44,72],"develop":[24],"novel":[26],"representation":[29],"affinity":[31,110,124],"measurement":[32,125],"strategy":[33,126],"for":[34,98],"recognition":[36,102,147],"with":[37,127],"distribution":[38,54,76],"pattern":[39],"mining.":[40],"purpose,":[43],"construct":[45,94],"fine-grained":[47],"self-adaptive":[48],"histogram":[49],"algorithm":[50],"estimate":[52],"the":[53,58,75,89,95,101,108,112,121,128],"probability":[55],"density":[56],"of":[57,78],"parameter":[60,79],"sequence":[61],"further":[63,134],"represent":[64,88],"it":[65],"through":[66],"vector":[67],"embedding.":[68],"Based":[69],"on":[70,164],"it,":[71],"comprehensively":[73],"use":[74],"features":[77],"sequences":[80,85],"their":[82],"first-order":[83],"difference":[84],"hierarchically":[87],"patterns":[92],"database":[97],"Finally,":[100],"problem":[103],"is":[104,133],"formulated":[105],"as":[106],"measuring":[107],"distributions\u2019":[109],"between":[111],"testing":[113],"each":[117],"class":[118],"center":[119],"in":[120,159],"database.":[122],"An":[123],"weighted":[129],"Jensen-Shannon":[130],"divergence":[131],"(WJSD)":[132],"proposed":[135],"facilitate":[137],"Experimental":[139],"results":[140],"show":[141],"that":[142],"our":[143,151],"method":[144,152],"achieves":[145],"superior":[146],"performance.":[148],"In":[149],"addition,":[150],"can":[153],"be":[154],"easily":[155],"applied":[156],"extended":[158],"practical":[160],"applications":[161],"without":[162],"relying":[163],"complex":[165],"training":[166],"processes":[167],"big":[169],"datasets.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
