{"id":"https://openalex.org/W2793655483","doi":"https://doi.org/10.1109/lgrs.2018.2806940","title":"Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks","display_name":"Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-03-06","ids":{"openalex":"https://openalex.org/W2793655483","doi":"https://doi.org/10.1109/lgrs.2018.2806940","mag":"2793655483"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2806940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2806940","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.gla.ac.uk/view/author/36576.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102022404","display_name":"Zhaoxi Chen","orcid":"https://orcid.org/0000-0003-3287-7512"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoxi Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438655","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9755-2781"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["Research Institute of Tsinghua University in Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Tsinghua University in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007936497","display_name":"Francesco Fioranelli","orcid":"https://orcid.org/0000-0001-8254-8093"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francesco Fioranelli","raw_affiliation_strings":["School of Engineering, University of Glasgow, Glasgow, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068398513","display_name":"Hugh Griffiths","orcid":"https://orcid.org/0000-0002-9947-5553"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hugh Griffiths","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102022404"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":35.0431,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.99819479,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"5","first_page":"669","last_page":"673"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7847799062728882},{"id":"https://openalex.org/keywords/multistatic-radar","display_name":"Multistatic radar","score":0.7655153274536133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599206566810608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094578504562378},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5639777183532715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5611687898635864},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45111870765686035},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3220962584018707},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.2878151535987854},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10704687237739563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0850701630115509}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7847799062728882},{"id":"https://openalex.org/C2777585438","wikidata":"https://www.wikidata.org/wiki/Q6935105","display_name":"Multistatic radar","level":5,"score":0.7655153274536133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599206566810608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094578504562378},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5639777183532715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5611687898635864},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45111870765686035},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3220962584018707},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.2878151535987854},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10704687237739563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0850701630115509},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2018.2806940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2806940","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:156827","is_oa":true,"landing_page_url":"http://eprints.gla.ac.uk/view/author/36576.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:156827","is_oa":true,"landing_page_url":"http://eprints.gla.ac.uk/view/author/36576.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1321968458","display_name":null,"funder_award_id":"61661130158","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7571740258","display_name":"Security Science Doctoral Training Centre","funder_award_id":"EP/G037264/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1963882359","https://openalex.org/W1992601271","https://openalex.org/W2095705004","https://openalex.org/W2128331885","https://openalex.org/W2157770256","https://openalex.org/W2161381512","https://openalex.org/W2165698076","https://openalex.org/W2242223225","https://openalex.org/W2253429366","https://openalex.org/W2319252913","https://openalex.org/W2336034890","https://openalex.org/W2343534098","https://openalex.org/W2355170876","https://openalex.org/W2367043657","https://openalex.org/W2531174837","https://openalex.org/W2550347528","https://openalex.org/W2552002155","https://openalex.org/W2557643641","https://openalex.org/W2563851357","https://openalex.org/W2577021971","https://openalex.org/W2623104697","https://openalex.org/W2624738108","https://openalex.org/W2625773758","https://openalex.org/W2625898145","https://openalex.org/W2626241633","https://openalex.org/W2763207784","https://openalex.org/W2963173190","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6731853769"],"related_works":["https://openalex.org/W4313855562","https://openalex.org/W2091422131","https://openalex.org/W1992211884","https://openalex.org/W1974469877","https://openalex.org/W1483344438","https://openalex.org/W2550058450","https://openalex.org/W3091813531","https://openalex.org/W2764122698","https://openalex.org/W2351345851","https://openalex.org/W2974197226"],"abstract_inverted_index":{"In":[0],"this":[1,44],"letter,":[2],"we":[3,83],"propose":[4,52,85],"two":[5],"methods":[6,98],"for":[7],"personnel":[8,135],"recognition":[9,136],"and":[10,67,130],"gait":[11,123],"classification":[12,48,124],"using":[13,125,137],"deep":[14],"convolutional":[15],"neural":[16],"networks":[17],"(DCNNs)":[18],"based":[19],"on":[20,31,62,101,151],"multistatic":[21,39,87,108],"radar":[22,40,109,154],"micro-Doppler":[23],"signatures.":[24],"Previous":[25],"DCNN-based":[26],"schemes":[27],"have":[28],"mainly":[29],"focused":[30],"monostatic":[32,55],"scenarios,":[33],"whereas":[34],"directional":[35],"diversity":[36],"offered":[37],"by":[38,71,148],"is":[41],"exploited":[42],"in":[43,121,133],"letter":[45],"to":[46],"improve":[47],"accuracy.":[49],"We":[50],"first":[51],"the":[53,69,76,80,86,115,145],"voted":[54],"DCNN":[56,88,150],"(VMo-DCNN)":[57],"method,":[58,90],"which":[59,91,141],"trains":[60],"DCNNs":[61],"each":[63],"receiver":[64],"node":[65],"separately":[66],"fuses":[68],"results":[70,112],"binary":[72],"voting.":[73],"By":[74],"merging":[75],"fusion":[77],"step":[78],"into":[79],"network":[81],"architecture,":[82],"further":[84],"(Mul-DCNN)":[89],"performs":[92],"slightly":[93],"better":[94],"than":[95,144],"VMo-DCNN.":[96],"These":[97],"are":[99,142],"validated":[100],"real":[102],"data":[103,129],"measured":[104],"with":[105],"a":[106,152],"2.4-GHz":[107],"system.":[110],"Experimental":[111],"show":[113],"that":[114],"Mul-DCNN":[116],"achieves":[117],"over":[118],"99%":[119],"accuracy":[120,146],"armed/unarmed":[122],"only":[126],"20%":[127],"training":[128,139],"similar":[131],"performance":[132],"two-class":[134],"50%":[138],"data,":[140],"higher":[143],"obtained":[147],"performing":[149],"single":[153],"node.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
