{"id":"https://openalex.org/W4412030401","doi":"https://doi.org/10.1109/lsp.2025.3586184","title":"A Sliding Window Based Adaptive Progressive Gaussian Approximate Filter","display_name":"A Sliding Window Based Adaptive Progressive Gaussian Approximate Filter","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412030401","doi":"https://doi.org/10.1109/lsp.2025.3586184"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3586184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3586184","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100334025","display_name":"Guoqing Wang","orcid":"https://orcid.org/0000-0003-0255-4923"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0255-4923","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104125599","display_name":"Zihao Zhang","orcid":"https://orcid.org/0009-0000-0935-6407"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-0935-6407","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055615832","display_name":"Chunyu Yang","orcid":"https://orcid.org/0000-0002-1590-1712"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Yang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1590-1712","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069826865","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0001-8669-5613"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8669-5613","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07592245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"2743","last_page":"2747"},"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":0.9264000058174133,"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":0.9264000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5417841076850891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49003732204437256},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4769679009914398},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4593226909637451},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4508601427078247},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4420269727706909},{"id":"https://openalex.org/keywords/filtering-theory","display_name":"Filtering theory","score":0.4324420690536499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3587474226951599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34100791811943054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33190152049064636},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3123942017555237},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15930867195129395}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5417841076850891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49003732204437256},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4769679009914398},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4593226909637451},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4508601427078247},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4420269727706909},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.4324420690536499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3587474226951599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34100791811943054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33190152049064636},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3123942017555237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15930867195129395},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3586184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3586184","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128017177","display_name":null,"funder_award_id":"62373362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2590401234","display_name":null,"funder_award_id":"62273350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5633519771","display_name":null,"funder_award_id":"62203448","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6556902255","display_name":null,"funder_award_id":"U24A20272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8811104819","display_name":null,"funder_award_id":"2025T180480","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W964387164","https://openalex.org/W2016456873","https://openalex.org/W2053211321","https://openalex.org/W2054091988","https://openalex.org/W2121075403","https://openalex.org/W2121990344","https://openalex.org/W2146849590","https://openalex.org/W2292863112","https://openalex.org/W2749496335","https://openalex.org/W2775403132","https://openalex.org/W2915225686","https://openalex.org/W2965398762","https://openalex.org/W2965584840","https://openalex.org/W3027939032","https://openalex.org/W4206906441","https://openalex.org/W4226141446","https://openalex.org/W4281658717","https://openalex.org/W4285251124","https://openalex.org/W4319842311","https://openalex.org/W6689985608"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W2109115373","https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W3014558862","https://openalex.org/W1501804233","https://openalex.org/W1976504964","https://openalex.org/W2039473711","https://openalex.org/W2142537705"],"abstract_inverted_index":{"Progressive":[0],"Gaussian":[1,95,115],"approximate":[2],"filter":[3],"(PGAF)":[4],"provides":[5],"an":[6,28],"efficient":[7],"way":[8],"for":[9,91,98],"estimating":[10],"the":[11,44,53,63,70,73,79,82,102,120],"states":[12],"of":[13],"nonlinear":[14,114],"systems":[15],"with":[16,48],"large":[17],"prior":[18],"errors":[19],"and":[20,94],"accurate":[21],"measurements.":[22],"However,":[23],"its":[24],"performance":[25],"declines":[26],"when":[27,43],"inaccurate":[29],"measurement":[30,54],"noise":[31],"covariance":[32],"matrix":[33],"(MNCM)":[34],"is":[35,46,87],"applied,":[36],"which":[37],"makes":[38],"it":[39],"even":[40],"more":[41],"challenging":[42],"MNCM":[45,71],"coupled":[47],"progression":[49],"step":[50],"size":[51],"in":[52],"update":[55],"step.":[56],"To":[57],"solve":[58],"this":[59],"problem,":[60],"we":[61],"adopt":[62],"sliding":[64,103,107],"window":[65,108],"method":[66],"to":[67],"accurately":[68],"estimate":[69],"within":[72,101],"variational":[74],"Bayesian":[75],"framework":[76],"adaptively.":[77],"In":[78],"proposed":[80,106],"algorithm,":[81],"system":[83],"state's":[84],"posterior":[85],"distribution":[86],"obtained":[88],"through":[89],"PGAF":[90,111],"forward":[92],"filtering":[93],"approximation":[96],"smoother":[97],"backward":[99],"smoothing":[100],"window.":[104],"The":[105],"based":[109],"adaptive":[110],"outperforms":[112],"existing":[113],"filters":[116],"as":[117],"demonstrated":[118],"using":[119],"target":[121],"tracking":[122],"examples.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}