{"id":"https://openalex.org/W4390659003","doi":"https://doi.org/10.1109/tcsii.2024.3350650","title":"Variational Bayesian-Based Generalized Loss Cubature Kalman Filter","display_name":"Variational Bayesian-Based Generalized Loss Cubature Kalman Filter","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4390659003","doi":"https://doi.org/10.1109/tcsii.2024.3350650"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2024.3350650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3350650","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","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/A5032922837","display_name":"Wenxing Yan","orcid":"https://orcid.org/0000-0002-6229-7415"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxing Yan","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071073376","display_name":"Shanmou Chen","orcid":"https://orcid.org/0000-0002-1422-9717"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanmou Chen","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027182060","display_name":"Dongyuan Lin","orcid":"https://orcid.org/0000-0002-7451-2477"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyuan Lin","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640301","display_name":"Shiyuan Wang","orcid":"https://orcid.org/0000-0002-5028-5839"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032922837"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":4.0007,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94038205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"71","issue":"5","first_page":"2874","last_page":"2878"},"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":1.0,"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":1.0,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9624999761581421,"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/outlier","display_name":"Outlier","score":0.7900645732879639},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7157822847366333},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6957950592041016},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5708991289138794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5377902984619141},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5077434778213501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.490569531917572},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.48970916867256165},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43605631589889526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4255252778530121},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.42071279883384705},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41231709718704224},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33992692828178406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320698082447052}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7900645732879639},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7157822847366333},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6957950592041016},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5708991289138794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5377902984619141},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5077434778213501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.490569531917572},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.48970916867256165},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43605631589889526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4255252778530121},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.42071279883384705},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41231709718704224},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33992692828178406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320698082447052},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2024.3350650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3350650","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G230063549","display_name":null,"funder_award_id":"62071391","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":26,"referenced_works":["https://openalex.org/W1970121601","https://openalex.org/W2010535094","https://openalex.org/W2054091988","https://openalex.org/W2068974335","https://openalex.org/W2099371695","https://openalex.org/W2105934661","https://openalex.org/W2123487311","https://openalex.org/W2126150910","https://openalex.org/W2126926806","https://openalex.org/W2490865940","https://openalex.org/W2537856558","https://openalex.org/W2575097171","https://openalex.org/W2588221994","https://openalex.org/W2806131213","https://openalex.org/W2944846513","https://openalex.org/W2949218280","https://openalex.org/W2955863859","https://openalex.org/W3082411999","https://openalex.org/W3087824962","https://openalex.org/W3099185570","https://openalex.org/W3130736756","https://openalex.org/W3135850304","https://openalex.org/W3161549427","https://openalex.org/W3178158451","https://openalex.org/W3205969355","https://openalex.org/W4295940528"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W3006513224","https://openalex.org/W2949601986","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2788972299","https://openalex.org/W2978674666","https://openalex.org/W2385286892","https://openalex.org/W2350927655"],"abstract_inverted_index":{"Kalman":[0,52],"filters":[1,36,152],"equipped":[2],"with":[3,155],"both":[4,13,160],"adaptivity":[5],"and":[6,17,114,144,164],"robustness":[7],"have":[8],"been":[9],"developed":[10],"to":[11,38,65,93,150],"handle":[12],"unknown":[14,161],"measurement":[15,71,162],"noise":[16,19,157,163],"non-Gaussian":[18,29],"affected":[20],"by":[21,86],"outliers.":[22,72,165],"However,":[23],"in":[24,61],"the":[25,31,67,78,81,84,88,95,99,105,117,122,141],"presence":[26],"of":[27,34,69,83,98,121],"complex":[28,156],"noise,":[30],"estimation":[32],"performance":[33],"these":[35],"tends":[37],"deteriorate.":[39],"To":[40],"address":[41],"this":[42],"issue,":[43],"we":[44],"propose":[45],"a":[46,57,110],"variational":[47],"Bayesian-based":[48],"generalized":[49,58],"loss":[50,59,76],"cubature":[51],"filter":[53],"(VB-GLCKF),":[54],"which":[55],"introduces":[56,116],"(GL)":[60],"robust":[62,75],"information":[63],"learning":[64],"combat":[66],"effects":[68],"complicated":[70],"Unlike":[73],"other":[74],"functions,":[77],"GL":[79,123],"modifies":[80],"shape":[82,89,100,142],"function":[85,124],"adjusting":[87],"parameter.":[90],"More":[91],"importantly,":[92],"avoid":[94],"manual":[96],"selection":[97],"parameter,":[101],"VB-GLCKF":[102,137],"first":[103],"establishes":[104],"linear":[106],"regression":[107],"model":[108],"for":[109,125],"residual":[111],"error":[112],"vector":[113],"then":[115],"negative":[118],"log-likelihood":[119],"(NLL)":[120],"automating":[126],"parameter":[127,143],"optimization.":[128],"Simulations":[129],"on":[130],"reentry":[131],"vehicle":[132],"tracking":[133],"(RVT)":[134],"confirm":[135],"that":[136],"can":[138],"effectively":[139],"estimate":[140],"achieve":[145],"significant":[146],"accuracy":[147],"improvement":[148],"compared":[149],"existing":[151],"when":[153],"dealing":[154],"scenarios":[158],"involving":[159]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}