{"id":"https://openalex.org/W2742647015","doi":"https://doi.org/10.23919/icif.2017.8009619","title":"A two-stage particle filter in high dimension","display_name":"A two-stage particle filter in high dimension","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2742647015","doi":"https://doi.org/10.23919/icif.2017.8009619","mag":"2742647015"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009619","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","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/A5100350673","display_name":"Wenbo Wang","orcid":"https://orcid.org/0000-0002-6175-5787"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Wenbo Wang","raw_affiliation_strings":["Department of Applied Mathematics, University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047401338","display_name":"Pranab Kumar Mandal","orcid":"https://orcid.org/0000-0001-9131-538X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pranab K. Mandal","raw_affiliation_strings":["Department of Applied Mathematics, University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100350673"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09729256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11220","display_name":"Water Systems and Optimization","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7676058411598206},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.6380429863929749},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5752180218696594},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5599963068962097},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.553410530090332},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5506099462509155},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.49231231212615967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49124377965927124},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.477855384349823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45544150471687317},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4488428831100464},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.41323041915893555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35096275806427},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.325764536857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21405139565467834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16025125980377197},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14967235922813416},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.14085373282432556},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.12357524037361145},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05835145711898804}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7676058411598206},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.6380429863929749},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5752180218696594},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5599963068962097},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.553410530090332},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5506099462509155},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.49231231212615967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49124377965927124},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.477855384349823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45544150471687317},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4488428831100464},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.41323041915893555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35096275806427},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.325764536857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21405139565467834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16025125980377197},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14967235922813416},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.14085373282432556},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.12357524037361145},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05835145711898804},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/icif.2017.8009619","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/d67162b2-2abb-46b3-a313-730e91cc2306","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/d67162b2-2abb-46b3-a313-730e91cc2306","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, W & Mandal, P K 2017, A Two-stage Particle Filter in High Dimension. in 20th International Conference on Information Fusion : 2017 Proceedings. IEEE, 20th International Conference on Information Fusion, FUSION 2017, Xi'an, China, 10/07/17. https://doi.org/10.23919/ICIF.2017.8009619","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1396898801","display_name":null,"funder_award_id":"607400","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W788570312","https://openalex.org/W1982647830","https://openalex.org/W2040975855","https://openalex.org/W2076538312","https://openalex.org/W2098613108","https://openalex.org/W2126736494","https://openalex.org/W2131255766","https://openalex.org/W2150375101","https://openalex.org/W2150951085","https://openalex.org/W2160337655"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W2109576686","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2382411933","https://openalex.org/W2070455225"],"abstract_inverted_index":{"Particle":[0],"Filter":[1],"(PF)":[2],"is":[3,59,86,141],"a":[4,37,73,93,104,112,124,139,153],"popular":[5],"sequential":[6],"Monte":[7],"Carlo":[8],"method":[9],"to":[10,56,60,66,99],"deal":[11],"with":[12,42,143,172],"non-linear":[13],"non-Gaussian":[14],"filtering":[15],"problems.":[16],"However,":[17],"it":[18],"suffers":[19],"from":[20,89,132],"the":[21,27,30,43,46,50,54,62,79,90,101,130,133,136,144,149,162,170],"so-called":[22,80],"curse":[23],"of":[24,33,45,49,103,117,176],"dimensionality":[25],"in":[26,53,65,148,159],"sense":[28],"that":[29,92,128,158],"required":[31],"number":[32,175],"particle":[34,74,82,105,114,165],"(needed":[35],"for":[36],"reasonable":[38],"performance)":[39],"grows":[40],"exponentially":[41],"dimension":[44],"system.":[47],"One":[48],"techniques":[51],"found":[52],"literature":[55,91],"tackle":[57],"this":[58,108],"split":[61],"high-dimensional":[63,160],"state":[64],"several":[67],"lower":[68],"dimensional":[69],"(sub)spaces":[70],"and":[71],"run":[72],"filter":[75,83,115,166],"on":[76],"each":[77],"subspace,":[78],"multiple":[81],"(MPF).":[84],"It":[85],"also":[87],"well-known":[88],"good":[94],"proposal":[95,126,145],"density":[96,127,146],"can":[97],"help":[98],"improve":[100],"performance":[102],"filter.":[106],"In":[107,135],"article,":[109],"we":[110,156],"propose":[111],"new":[113],"consisting":[116],"two":[118],"stages.":[119],"The":[120],"first":[121,150],"stage":[122,138],"derives":[123],"suitable":[125],"incorporates":[129],"information":[131],"measurements.":[134],"second":[137],"PF":[140],"employed":[142],"obtained":[147],"stage.":[151],"Through":[152],"simulated":[154],"example":[155],"show":[157],"systems,":[161],"proposed":[163],"two-stage":[164],"performs":[167],"better":[168],"than":[169],"MPF":[171],"much":[173],"fewer":[174],"particles.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}