{"id":"https://openalex.org/W2744574735","doi":"https://doi.org/10.23919/icif.2017.8009801","title":"Gaussian sum filtering using uncorrelated conversion for nonlinear estimation","display_name":"Gaussian sum filtering using uncorrelated conversion for nonlinear estimation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2744574735","doi":"https://doi.org/10.23919/icif.2017.8009801","mag":"2744574735"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009801","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009801","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/A5047791258","display_name":"Yingjie Zhang","orcid":"https://orcid.org/0000-0001-7488-6500"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingjie Zhang","raw_affiliation_strings":["Center for Information Engineering Science Research (CIESR), Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Center for Information Engineering Science Research (CIESR), Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030275567","display_name":"Jian Lan","orcid":"https://orcid.org/0000-0003-4994-4814"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lan","raw_affiliation_strings":["Center for Information Engineering Science Research (CIESR), Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Center for Information Engineering Science Research (CIESR), Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047791258"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70243333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"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":0.9998999834060669,"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/T11220","display_name":"Water Systems and Optimization","score":0.9740999937057495,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8060817122459412},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6964333057403564},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.6472357511520386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6353311538696289},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.581806480884552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49322623014450073},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4760401248931885},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4755525290966034},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.427890419960022},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.41552430391311646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3031277060508728},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06287693977355957}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8060817122459412},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6964333057403564},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.6472357511520386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6353311538696289},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.581806480884552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49322623014450073},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4760401248931885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4755525290966034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.427890419960022},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.41552430391311646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3031277060508728},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06287693977355957},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2017.8009801","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009801","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1531532259","https://openalex.org/W1545632541","https://openalex.org/W1964849905","https://openalex.org/W1966757195","https://openalex.org/W1970319972","https://openalex.org/W2039620643","https://openalex.org/W2043357888","https://openalex.org/W2054091988","https://openalex.org/W2070898270","https://openalex.org/W2086285350","https://openalex.org/W2099371695","https://openalex.org/W2099867508","https://openalex.org/W2105934661","https://openalex.org/W2115445963","https://openalex.org/W2123487311","https://openalex.org/W2124369546","https://openalex.org/W2148474843","https://openalex.org/W2401859733","https://openalex.org/W2627013164"],"related_works":["https://openalex.org/W2075897667","https://openalex.org/W2609066529","https://openalex.org/W2082319654","https://openalex.org/W1970319972","https://openalex.org/W2150541705","https://openalex.org/W2907746047","https://openalex.org/W3125536267","https://openalex.org/W2389710210","https://openalex.org/W4386840168","https://openalex.org/W2921413925"],"abstract_inverted_index":{"For":[0],"nonlinear":[1,46],"estimation,":[2],"the":[3,16,52,56,65,69,78,81,95,111,123,134,138,147,152,157,171,177,180,186,189,192,198,209,212],"Gaussian":[4,24,29,102,124,127,158,199],"sum":[5,103,128,200],"filter":[6,108,117,194,204],"(GSF)":[7],"provides":[8],"a":[9,23,34,44,85,101],"flexible":[10],"and":[11,188],"effective":[12],"framework.":[13],"It":[14],"approximates":[15],"posterior":[17],"probability":[18],"density":[19],"function":[20],"(pdf)":[21],"by":[22,141,161,170],"mixture":[25],"in":[26],"which":[27,132,174],"each":[28],"component":[30,159],"is":[31,59,64,119,133,195],"obtained":[32,160,169,193],"using":[33,137],"linear":[35,72],"minimum":[36],"mean":[37],"squared":[38],"error":[39],"(LMMSE)":[40],"estimator.":[41,150,214],"However,":[42],"for":[43,126],"highly":[45],"problem":[47],"with":[48],"large":[49],"measurement":[50,139],"noise,":[51],"estimation":[53,96],"performance":[54,79,178],"of":[55,71,80,88,156,179,185,211],"LMMSE":[57,135,149,172],"estimator":[58,136],"largely":[60],"limited,":[61],"since":[62],"it":[63],"best":[66],"only":[67],"within":[68],"class":[70],"estimators.":[73],"This":[74],"may":[75],"further":[76,175],"degrade":[77],"GSF,":[82],"especially":[83],"if":[84],"small":[86],"number":[87],"these":[89],"components":[90,125],"are":[91],"used.":[92],"To":[93],"improve":[94],"performance,":[97],"this":[98],"paper":[99],"proposes":[100],"uncorrelated":[104,114,143,201],"conversion":[105,115,202],"(UC)":[106],"based":[107,116,203],"(GS-UCF),":[109],"where":[110],"recently":[112],"proposed":[113,213],"(UCF)":[118],"applied":[120],"to":[121],"obtain":[122],"filtering.":[129],"The":[130],"UCF":[131,162,187],"augmented":[140],"its":[142],"conversions":[144],"can":[145,163],"outperform":[146],"original":[148],"Thus,":[151],"first":[153],"two":[154],"moments":[155],"be":[164],"more":[165],"accurate":[166],"than":[167],"those":[168],"estimator,":[173],"improves":[176],"GSF.":[181],"As":[182],"an":[183],"integration":[184],"GSF":[190],"framework,":[191],"named":[196],"as":[197],"(GS-UCF).":[205],"Simulation":[206],"results":[207],"show":[208],"effectiveness":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
