{"id":"https://openalex.org/W2984339156","doi":"https://doi.org/10.3390/s19224830","title":"Robust Interacting Multiple Model Filter Based on Student\u2019s t-Distribution for Heavy-Tailed Measurement Noises","display_name":"Robust Interacting Multiple Model Filter Based on Student\u2019s t-Distribution for Heavy-Tailed Measurement Noises","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2984339156","doi":"https://doi.org/10.3390/s19224830","mag":"2984339156","pmid":"https://pubmed.ncbi.nlm.nih.gov/31698779"},"language":"en","primary_location":{"id":"doi:10.3390/s19224830","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19224830","pdf_url":"https://www.mdpi.com/1424-8220/19/22/4830/pdf?version=1573039419","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/22/4830/pdf?version=1573039419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100407346","display_name":"Dong Li","orcid":"https://orcid.org/0000-0001-5144-497X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Li","raw_affiliation_strings":["Unit 94, PLA 91550, Dalian 116023, China"],"raw_orcid":"https://orcid.org/0000-0001-5144-497X","affiliations":[{"raw_affiliation_string":"Unit 94, PLA 91550, Dalian 116023, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327205","display_name":"Jie Sun","orcid":"https://orcid.org/0000-0003-1884-1070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["Unit 93, PLA 91550, Dalian 116023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit 93, PLA 91550, Dalian 116023, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100407346"],"corresponding_institution_ids":[],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6389,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.78213157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"22","first_page":"4830","last_page":"4830"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9805999994277954,"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/T11220","display_name":"Water Systems and Optimization","score":0.9800999760627747,"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/students-t-distribution","display_name":"Student's t-distribution","score":0.4750511646270752},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4733997583389282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45507916808128357},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4373595118522644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38278430700302124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3099602460861206},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1741807758808136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09532049298286438},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08740758895874023}],"concepts":[{"id":"https://openalex.org/C49232408","wikidata":"https://www.wikidata.org/wiki/Q576072","display_name":"Student's t-distribution","level":4,"score":0.4750511646270752},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4733997583389282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45507916808128357},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4373595118522644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38278430700302124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3099602460861206},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1741807758808136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09532049298286438},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08740758895874023},{"id":"https://openalex.org/C23922673","wikidata":"https://www.wikidata.org/wiki/Q180752","display_name":"Autoregressive conditional heteroskedasticity","level":3,"score":0.0},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19224830","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19224830","pdf_url":"https://www.mdpi.com/1424-8220/19/22/4830/pdf?version=1573039419","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31698779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31698779","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8c72da55389745ca94959b0a4b0e5d8c","is_oa":true,"landing_page_url":"https://doaj.org/article/8c72da55389745ca94959b0a4b0e5d8c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 22, p 4830 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/22/4830/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19224830","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6891737","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6891737","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19224830","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19224830","pdf_url":"https://www.mdpi.com/1424-8220/19/22/4830/pdf?version=1573039419","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1585524818","display_name":null,"funder_award_id":"61801482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7478784927","display_name":null,"funder_award_id":"61703408","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2984339156.pdf","grobid_xml":"https://content.openalex.org/works/W2984339156.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W244900256","https://openalex.org/W1531532259","https://openalex.org/W1730025652","https://openalex.org/W1749494163","https://openalex.org/W1951045788","https://openalex.org/W1962346949","https://openalex.org/W1976974773","https://openalex.org/W2013171578","https://openalex.org/W2034824933","https://openalex.org/W2050114157","https://openalex.org/W2062100941","https://openalex.org/W2095376999","https://openalex.org/W2099371695","https://openalex.org/W2103632679","https://openalex.org/W2105451692","https://openalex.org/W2137971377","https://openalex.org/W2141438781","https://openalex.org/W2152942139","https://openalex.org/W2161177697","https://openalex.org/W2166713810","https://openalex.org/W2172144714","https://openalex.org/W2204230881","https://openalex.org/W2221741827","https://openalex.org/W2228180157","https://openalex.org/W2238582461","https://openalex.org/W2344510161","https://openalex.org/W2490865940","https://openalex.org/W2515453889","https://openalex.org/W2518542375","https://openalex.org/W2572262903","https://openalex.org/W2575097171","https://openalex.org/W2749496335","https://openalex.org/W2772311897","https://openalex.org/W2795823799","https://openalex.org/W2796512741","https://openalex.org/W2803565927","https://openalex.org/W2809449138","https://openalex.org/W2963134661","https://openalex.org/W6637677336","https://openalex.org/W6750262458"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2795713352","https://openalex.org/W2235479813","https://openalex.org/W3151694373","https://openalex.org/W3121421985"],"abstract_inverted_index":{"In":[0],"maneuvering":[1],"target":[2,77,108,127,171],"tracking":[3],"applications,":[4],"the":[5,8,37,76,86,98,107,126,145,155,163,167],"performance":[6],"of":[7,54,75,89,100,106,170],"traditional":[9],"interacting":[10,87],"multiple":[11],"model":[12],"(IMM)":[13],"filter":[14,29,165],"deteriorates":[15],"seriously":[16],"under":[17,179],"heavy-tailed":[18,38,180],"measurement":[19,39,45,181],"noises":[20,40,46],"which":[21],"are":[22,47,60,83,95,118,134],"induced":[23],"by":[24,65,120],"outliers.":[25],"A":[26,137],"robust":[27],"IMM":[28,90],"utilizing":[30],"Student\u2019s":[31,50],"t-distribution":[32],"is":[33,140,151],"proposed":[34,164],"to":[35,62,143,153],"handle":[36],"in":[41],"this":[42],"paper.":[43],"The":[44,72,103,148],"treated":[48],"as":[49],"t-distribution,":[51],"whose":[52],"degrees":[53],"freedom":[55],"(dof)":[56],"and":[57,67,80,111,130,173],"scale":[58,81,112,131],"matrix":[59,82,113,132],"assumed":[61],"be":[63],"governed":[64],"gamma":[66],"inverse":[68],"Wishart":[69],"distributions,":[70],"respectively.":[71],"mixing":[73,93],"distributions":[74,94,105],"state,":[78,109,128],"dof,":[79,110,129],"achieved":[84],"through":[85],"strategy":[88],"filter.":[91],"These":[92],"used":[96],"for":[97],"initialization":[99],"time":[101],"prediction.":[102],"posterior":[104],"conditioned":[114],"on":[115],"each":[116],"mode":[117,146,174],"obtained":[119],"employing":[121],"variational":[122,138],"Bayesian":[123],"approach.":[124],"Then,":[125],"parameters":[133],"jointly":[135],"estimated.":[136],"method":[139],"also":[141],"given":[142],"estimate":[144],"probability.":[147],"unscented":[149],"transform":[150],"utilized":[152],"solve":[154],"nonlinear":[156],"estimation":[157,168],"problem.":[158],"Simulation":[159],"results":[160],"show":[161],"that":[162],"improves":[166],"accuracy":[169],"state":[172],"probability":[175],"over":[176],"existing":[177],"filters":[178],"noises.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
