{"id":"https://openalex.org/W4226294020","doi":"https://doi.org/10.1109/tim.2022.3169539","title":"A Convolutional Neural Network Particle Filter for UUV Target State Estimation","display_name":"A Convolutional Neural Network Particle Filter for UUV Target State Estimation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226294020","doi":"https://doi.org/10.1109/tim.2022.3169539"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3169539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3169539","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/A5082977792","display_name":"Changjian Lin","orcid":"https://orcid.org/0000-0003-1521-0193"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Lin","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1521-0193","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":2.4931,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90516081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9998000264167786,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.675106406211853},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5795654058456421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690567493438721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5316420793533325},{"id":"https://openalex.org/keywords/unmanned-underwater-vehicle","display_name":"Unmanned underwater vehicle","score":0.48222482204437256},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4660514295101166},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45887577533721924},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4562687575817108},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42373350262641907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35435736179351807},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.32270586490631104},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.27193447947502136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16882926225662231}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.675106406211853},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5795654058456421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690567493438721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5316420793533325},{"id":"https://openalex.org/C2778740559","wikidata":"https://www.wikidata.org/wiki/Q2496586","display_name":"Unmanned underwater vehicle","level":3,"score":0.48222482204437256},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4660514295101166},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45887577533721924},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4562687575817108},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42373350262641907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35435736179351807},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.32270586490631104},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.27193447947502136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16882926225662231},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3169539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3169539","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.75}],"awards":[{"id":"https://openalex.org/G4756161396","display_name":null,"funder_award_id":"62176259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792490895","display_name":null,"funder_award_id":"61976215","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1962346949","https://openalex.org/W2004294268","https://openalex.org/W2025542547","https://openalex.org/W2033529017","https://openalex.org/W2039562105","https://openalex.org/W2039921094","https://openalex.org/W2054091988","https://openalex.org/W2060880069","https://openalex.org/W2061925019","https://openalex.org/W2062542362","https://openalex.org/W2094875801","https://openalex.org/W2098613108","https://openalex.org/W2114813823","https://openalex.org/W2117397690","https://openalex.org/W2122021878","https://openalex.org/W2122512809","https://openalex.org/W2123487311","https://openalex.org/W2172140784","https://openalex.org/W2564534433","https://openalex.org/W2616036777","https://openalex.org/W2765289322","https://openalex.org/W2904429570","https://openalex.org/W2907929036","https://openalex.org/W2914308046","https://openalex.org/W2937359304","https://openalex.org/W2940391609","https://openalex.org/W2986162004","https://openalex.org/W3010356072","https://openalex.org/W3017073104","https://openalex.org/W3037998842","https://openalex.org/W3042675824","https://openalex.org/W3045468192","https://openalex.org/W3050693507","https://openalex.org/W3083084849","https://openalex.org/W3087921942","https://openalex.org/W3109712968","https://openalex.org/W3117498776","https://openalex.org/W3146369908","https://openalex.org/W3152911116","https://openalex.org/W3156573885","https://openalex.org/W3161641305","https://openalex.org/W3163714375","https://openalex.org/W3165178885","https://openalex.org/W3176315233","https://openalex.org/W3186191935"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2146799037","https://openalex.org/W1991846142","https://openalex.org/W2556064263","https://openalex.org/W2781379199","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W1982370455","https://openalex.org/W2953364237","https://openalex.org/W4300623128"],"abstract_inverted_index":{"The":[0,130,180],"challenges":[1],"facing":[2],"unmanned":[3],"underwater":[4],"vehicle":[5],"(UUV)":[6],"target":[7,17,28,50,60,77,83,100,105,135,142,178],"state":[8,51,61,84,96,101,137,144],"estimation":[9,52,102],"are":[10,114,139,173],"observation":[11],"uncertainty,":[12],"the":[13,16,21,26,30,34,72,90,95,109,117,125,134,147,157,168,177,189,194],"unpredictability":[14],"of":[15,25,98,128,171,193],"motion":[18,24,78,106],"model,":[19],"and":[20,46,75,103,151,160,185,191],"complex":[22],"relative":[23],"moving":[27],"to":[29,48,70,93,123,141,156,164,175],"observer.":[31],"Aiming":[32],"at":[33],"above":[35],"problems,":[36],"a":[37,59,82],"convolutional":[38,66],"neural":[39,67],"network":[40,63,68,92,159],"particle":[41],"filter":[42],"(CNNPF)":[43],"is":[44,87],"proposed":[45],"applied":[47],"UUV":[49,99],"using":[53],"forward-looking":[54],"sonar.":[55],"First,":[56],"we":[57],"design":[58],"prediction":[62,85,91,148,158],"based":[64],"on":[65],"(CNN)":[69],"describe":[71],"nonlinear":[73],"measurement":[74],"non-Markov":[76],"process":[79],"models.":[80],"Then,":[81],"dataset":[86],"established":[88],"for":[89],"build":[94],"space":[97,138,145],"extract":[104],"features":[107],"from":[108,116],"nonsequential":[110],"measurements.":[111,129],"Moreover,":[112],"particles":[113,132,172],"sampled":[115],"observations":[118],"with":[119],"disturbed":[120],"time":[121],"series":[122],"approximate":[124],"non-Gaussian":[126],"distribution":[127],"sampling":[131],"in":[133],"measured":[136],"mapped":[140],"predictive":[143],"through":[146],"network.":[149],"Convolutional":[150],"pooling":[152],"layers":[153],"impart":[154],"invariance":[155],"improve":[161],"its":[162],"adaptability":[163],"uncertain":[165],"measurement.":[166],"Finally,":[167],"predicted":[169],"states":[170],"used":[174],"estimate":[176],"states.":[179],"statistical":[181],"experiment,":[182],"simulation":[183],"cases,":[184],"hardware-in-the-loop":[186],"experiment":[187],"proved":[188],"applicability":[190],"performance":[192],"CNNPF.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}