{"id":"https://openalex.org/W2989691808","doi":"https://doi.org/10.1145/3364908.3364915","title":"Radar Target Recognition Based on Complex HRRP Using Convolutional Neural Network","display_name":"Radar Target Recognition Based on Complex HRRP Using Convolutional Neural Network","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2989691808","doi":"https://doi.org/10.1145/3364908.3364915","mag":"2989691808"},"language":"en","primary_location":{"id":"doi:10.1145/3364908.3364915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364908.3364915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Symposium on Signal Processing Systems","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/A5100360386","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-9448-3829"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Electronic Engineering College, Naval University of Engineering Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Naval University of Engineering Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112497110","display_name":"Jianbin Lu","orcid":"https://orcid.org/0000-0002-1645-5558"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Lu","raw_affiliation_strings":["Electronic Engineering College, Naval University of Engineering Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Naval University of Engineering Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722887","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-9596-4536"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["Electronic Engineering College, Naval University of Engineering Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Naval University of Engineering Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057447279","display_name":"Ziyuan Yang","orcid":"https://orcid.org/0000-0001-7122-4173"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Yang","raw_affiliation_strings":["Electronic Engineering College, Naval University of Engineering Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Naval University of Engineering Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100360386"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":1.838,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93686444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2017","issue":null,"first_page":"5","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7597664594650269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138578295707703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6956748962402344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.671419620513916},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.565229594707489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46270278096199036}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7597664594650269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138578295707703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6956748962402344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.671419620513916},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.565229594707489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46270278096199036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3364908.3364915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364908.3364915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Symposium on Signal Processing Systems","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":12,"referenced_works":["https://openalex.org/W2075343212","https://openalex.org/W2134603844","https://openalex.org/W2147973859","https://openalex.org/W2168049315","https://openalex.org/W2242925537","https://openalex.org/W2259806492","https://openalex.org/W2299634766","https://openalex.org/W2435742192","https://openalex.org/W2507782627","https://openalex.org/W2542821148","https://openalex.org/W2735751793","https://openalex.org/W2949117887"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Owing":[0],"to":[1],"the":[2,6,21,34,55,63,67,73,77,80,86,89,100,107,110,128],"initial":[3],"phase":[4,101],"of":[5,33,66,76,85,99,103,109,123],"complex":[7,42,129],"high":[8],"resolution":[9],"range":[10],"profile":[11],"(HRRP)":[12],"is":[13,17,113],"sensitive,":[14],"real":[15,81],"HRRP":[16,43,87,104,130],"usually":[18],"used":[19],"in":[20,58],"radar":[22],"automatic":[23],"target":[24,44],"recognition":[25,45,64,136],"(RATR)":[26],"field,":[27],"which":[28,95],"partially":[29],"causes":[30],"losing":[31],"information":[32,102],"data.":[35,105],"Based":[36],"on":[37,47,132],"this,":[38],"this":[39],"paper":[40],"proposed":[41,111],"based":[46,131],"improved":[48,61],"convolutional":[49],"neural":[50],"network":[51,57,68],"(CNN)":[52],"algorithm.":[53],"First,":[54],"Lenet-5":[56],"CNN":[59,78,133],"was":[60,69],"and":[62,82],"performance":[65],"ameliorated.":[70],"Second,":[71],"utilizing":[72],"excellent":[74],"characteristics":[75],"structure,":[79],"imaginary":[83],"parts":[84],"as":[88],"input":[90],"two":[91],"channels":[92],"were":[93],"input,":[94],"makes":[96],"full":[97],"use":[98],"Finally,":[106],"superiority":[108],"method":[112],"verified":[114],"by":[115],"comparison":[116],"with":[117],"different":[118],"methods.":[119],"The":[120],"experimental":[121],"results":[122],"measured":[124],"data":[125],"show":[126],"that":[127],"has":[134],"good":[135],"performance.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
