{"id":"https://openalex.org/W1756498584","doi":"https://doi.org/10.1080/00207721.2015.1056272","title":"Particle filter with one-step randomly delayed measurements and unknown latency probability","display_name":"Particle filter with one-step randomly delayed measurements and unknown latency probability","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1756498584","doi":"https://doi.org/10.1080/00207721.2015.1056272","mag":"1756498584"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2015.1056272","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1056272","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","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/A5100383751","display_name":"Yonggang Zhang","orcid":"https://orcid.org/0000-0003-4548-1111"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Zhang","raw_affiliation_strings":["Department of Automation, Harbin Engineering University, Harbin, China","[Department of Automation, Harbin Engineering University, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"[Department of Automation, Harbin Engineering University, Harbin, China]","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091074416","display_name":"Yulong Huang","orcid":"https://orcid.org/0000-0001-9303-9083"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulong Huang","raw_affiliation_strings":["Department of Automation, Harbin Engineering University, Harbin, China","[Department of Automation, Harbin Engineering University, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"[Department of Automation, Harbin Engineering University, Harbin, China]","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369025","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-4358-6449"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Department of Automation, Harbin Engineering University, Harbin, China","[Department of Automation, Harbin Engineering University, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"[Department of Automation, Harbin Engineering University, Harbin, China]","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045396189","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0003-2111-6611"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["Department of Automation, Harbin Engineering University, Harbin, China","[Department of Automation, Harbin Engineering University, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"[Department of Automation, Harbin Engineering University, Harbin, China]","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091074416"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":4.3144,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94542452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"47","issue":"1","first_page":"209","last_page":"221"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9248999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7833088636398315},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6582565903663635},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6263056397438049},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.556250810623169},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5053172707557678},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.502211332321167},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48876309394836426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48565495014190674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4665049910545349},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4480033814907074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43822893500328064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4270555377006531},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33214983344078064},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.26839351654052734},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2644568681716919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19762453436851501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07878297567367554},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06550279259681702}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7833088636398315},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6582565903663635},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6263056397438049},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.556250810623169},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5053172707557678},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.502211332321167},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48876309394836426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48565495014190674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4665049910545349},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4480033814907074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43822893500328064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4270555377006531},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33214983344078064},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.26839351654052734},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2644568681716919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19762453436851501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07878297567367554},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06550279259681702},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2015.1056272","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1056272","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:47:y:2016:i:1:p:209-221","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2015.1056272","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2927467091","display_name":null,"funder_award_id":"61001154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G332882177","display_name":null,"funder_award_id":"2013M530147","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4754113527","display_name":null,"funder_award_id":"61201409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6866776348","display_name":null,"funder_award_id":"61371173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7696734730","display_name":null,"funder_award_id":"2014T70309","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1965392255","https://openalex.org/W1970319972","https://openalex.org/W1979094997","https://openalex.org/W1983180205","https://openalex.org/W1989283325","https://openalex.org/W1994470193","https://openalex.org/W1998573903","https://openalex.org/W2003967703","https://openalex.org/W2011691068","https://openalex.org/W2016996666","https://openalex.org/W2028184652","https://openalex.org/W2056313725","https://openalex.org/W2074694920","https://openalex.org/W2089321711","https://openalex.org/W2124156864","https://openalex.org/W2130242703","https://openalex.org/W2131891535","https://openalex.org/W2135722512","https://openalex.org/W2141026532","https://openalex.org/W2160337655","https://openalex.org/W2162733643","https://openalex.org/W2178829616","https://openalex.org/W4232094063"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2911841387","https://openalex.org/W2803255289","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W2550734047","https://openalex.org/W2176526134","https://openalex.org/W2341571017"],"abstract_inverted_index":{"In":[0,35],"this":[1],"paper,":[2],"a":[3],"new":[4],"particle":[5,72],"filter":[6,73],"is":[7,33,60],"proposed":[8,37,71,84],"to":[9],"solve":[10],"the":[11,27,31,36,51,57,70,80,83],"nonlinear":[12],"and":[13,26,40,56,79,102],"non-Gaussian":[14],"filtering":[15,47],"problem":[16],"when":[17],"measurements":[18],"are":[19,43,90],"randomly":[20,52],"delayed":[21,53],"by":[22,49,62],"one":[23],"sampling":[24],"time":[25],"latency":[28,58,88],"probability":[29,59,89],"of":[30,69,82,87],"delay":[32],"unknown.":[34],"method,":[38],"particles":[39],"their":[41],"weights":[42],"updated":[44],"in":[45,93],"Bayesian":[46],"framework":[48],"considering":[50],"measurement":[54],"model,":[55],"identified":[61],"maximum":[63],"likelihood":[64],"criterion.":[65],"The":[66],"superior":[67],"performance":[68],"as":[74],"compared":[75],"with":[76],"existing":[77],"methods":[78],"effectiveness":[81],"identification":[85],"method":[86],"both":[91],"illustrated":[92],"two":[94],"numerical":[95],"examples":[96],"concerning":[97],"univariate":[98],"non-stationary":[99],"growth":[100],"model":[101],"bearing":[103],"only":[104],"tracking.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
