{"id":"https://openalex.org/W7166141999","doi":"https://doi.org/10.1016/j.sigpro.2026.110785","title":"High-dimensional Kalman filtering: From sparse modeling to AI-augmented architectures","display_name":"High-dimensional Kalman filtering: From sparse modeling to AI-augmented architectures","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166141999","doi":"https://doi.org/10.1016/j.sigpro.2026.110785"},"language":"en","primary_location":{"id":"doi:10.1016/j.sigpro.2026.110785","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.sigpro.2026.110785","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","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/A5107006234","display_name":"Guo Li","orcid":"https://orcid.org/0000-0002-7661-6691"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210103894","display_name":"Hefei National Center for Physical Sciences at Nanoscale","ror":"https://ror.org/01jeedh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I4210103894"]},{"id":"https://openalex.org/I4210166406","display_name":"Quantum Technologies (Sweden)","ror":"https://ror.org/05d5rz672","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210166406"]}],"countries":["CN","SE"],"is_corresponding":true,"raw_author_name":"Guo Li","raw_affiliation_strings":["Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China","Shanghai Research Center for Quantum Sciences and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, 201315, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I4210103894","https://openalex.org/I126520041"]},{"raw_affiliation_string":"Shanghai Research Center for Quantum Sciences and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, 201315, China","institution_ids":["https://openalex.org/I4210166406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318119","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-1311-0327"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210103894","display_name":"Hefei National Center for Physical Sciences at Nanoscale","ror":"https://ror.org/01jeedh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I4210103894"]},{"id":"https://openalex.org/I4210166406","display_name":"Quantum Technologies (Sweden)","ror":"https://ror.org/05d5rz672","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210166406"]}],"countries":["CN","SE"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China","Shanghai Research Center for Quantum Sciences and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, 201315, China"],"raw_orcid":"https://orcid.org/0000-0002-1311-0327","affiliations":[{"raw_affiliation_string":"Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I4210103894","https://openalex.org/I126520041"]},{"raw_affiliation_string":"Shanghai Research Center for Quantum Sciences and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, 201315, China","institution_ids":["https://openalex.org/I4210166406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139451985","display_name":"Zhaohui Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Gao","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, 710072, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060630586","display_name":"Shesheng Gao","orcid":"https://orcid.org/0000-0002-7980-9085"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shesheng Gao","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, 710072, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100318119","https://openalex.org/A5107006234"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210103894","https://openalex.org/I4210166406"],"apc_list":{"value":3200,"currency":"USD","value_usd":3200},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83015404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"250","issue":null,"first_page":"110785","last_page":"110785"},"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":0.18950000405311584,"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":0.18950000405311584,"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/T12303","display_name":"Tensor decomposition and applications","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.125,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6996999979019165},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6190999746322632},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.45500001311302185},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.435699999332428},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.42239999771118164},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.39750000834465027},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.38839998841285706},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.3671000003814697}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6996999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6326000094413757},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4426000118255615},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.39750000834465027},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3833000063896179},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3345000147819519},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3319000005722046},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.2985000014305115},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C1680195","wikidata":"https://www.wikidata.org/wiki/Q2296021","display_name":"Tensor algebra","level":5,"score":0.26339998841285706},{"id":"https://openalex.org/C179024874","wikidata":"https://www.wikidata.org/wiki/Q5395728","display_name":"Errors-in-variables models","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.26100000739097595},{"id":"https://openalex.org/C162443888","wikidata":"https://www.wikidata.org/wiki/Q1426504","display_name":"Power iteration","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.sigpro.2026.110785","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.sigpro.2026.110785","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6399983167648315}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":131,"referenced_works":["https://openalex.org/W811864384","https://openalex.org/W1902027874","https://openalex.org/W1965705620","https://openalex.org/W1966329705","https://openalex.org/W1970916399","https://openalex.org/W1976002676","https://openalex.org/W1979453608","https://openalex.org/W1980586072","https://openalex.org/W1982465265","https://openalex.org/W1985466244","https://openalex.org/W1989401419","https://openalex.org/W1990982728","https://openalex.org/W1992200270","https://openalex.org/W1994170512","https://openalex.org/W1995219655","https://openalex.org/W1996651655","https://openalex.org/W1998327975","https://openalex.org/W2005995356","https://openalex.org/W2011754354","https://openalex.org/W2019192887","https://openalex.org/W2021624862","https://openalex.org/W2030793712","https://openalex.org/W2034997740","https://openalex.org/W2035214231","https://openalex.org/W2038420319","https://openalex.org/W2039957113","https://openalex.org/W2046372107","https://openalex.org/W2047448918","https://openalex.org/W2054602340","https://openalex.org/W2058187269","https://openalex.org/W2078045707","https://openalex.org/W2082278382","https://openalex.org/W2083968899","https://openalex.org/W2084913894","https://openalex.org/W2089544541","https://openalex.org/W2098552783","https://openalex.org/W2099823866","https://openalex.org/W2100902913","https://openalex.org/W2101463793","https://openalex.org/W2101981609","https://openalex.org/W2104130465","https://openalex.org/W2104192126","https://openalex.org/W2105532434","https://openalex.org/W2105934661","https://openalex.org/W2112411455","https://openalex.org/W2117902495","https://openalex.org/W2132600099","https://openalex.org/W2139638562","https://openalex.org/W2144903371","https://openalex.org/W2156435365","https://openalex.org/W2157098139","https://openalex.org/W2158987262","https://openalex.org/W2160444846","https://openalex.org/W2161358768","https://openalex.org/W2168483484","https://openalex.org/W2168564612","https://openalex.org/W2169329579","https://openalex.org/W2171056517","https://openalex.org/W2174979383","https://openalex.org/W2176150232","https://openalex.org/W2179860363","https://openalex.org/W2191523148","https://openalex.org/W2294798173","https://openalex.org/W2316102489","https://openalex.org/W2527751063","https://openalex.org/W2536468953","https://openalex.org/W2558683571","https://openalex.org/W2617361225","https://openalex.org/W2620932942","https://openalex.org/W2753479239","https://openalex.org/W2776443693","https://openalex.org/W2886397137","https://openalex.org/W2902944055","https://openalex.org/W2907768713","https://openalex.org/W2951401720","https://openalex.org/W2963134661","https://openalex.org/W2971527941","https://openalex.org/W2995135701","https://openalex.org/W2996140527","https://openalex.org/W3001763435","https://openalex.org/W3026092354","https://openalex.org/W3027849421","https://openalex.org/W3086187097","https://openalex.org/W3089389858","https://openalex.org/W3101245099","https://openalex.org/W3110740850","https://openalex.org/W3123458307","https://openalex.org/W3133648073","https://openalex.org/W3142585061","https://openalex.org/W3144476404","https://openalex.org/W3183282730","https://openalex.org/W3184600788","https://openalex.org/W3192711503","https://openalex.org/W3205303854","https://openalex.org/W3210651207","https://openalex.org/W4205986915","https://openalex.org/W4280607022","https://openalex.org/W4287890986","https://openalex.org/W4294763211","https://openalex.org/W4297970665","https://openalex.org/W4298204516","https://openalex.org/W4308204891","https://openalex.org/W4312656581","https://openalex.org/W4313014667","https://openalex.org/W4315477067","https://openalex.org/W4362555039","https://openalex.org/W4381327655","https://openalex.org/W4381686127","https://openalex.org/W4382568129","https://openalex.org/W4385569537","https://openalex.org/W4385900396","https://openalex.org/W4386285856","https://openalex.org/W4386363040","https://openalex.org/W4386634574","https://openalex.org/W4387212176","https://openalex.org/W4387362019","https://openalex.org/W4390120110","https://openalex.org/W4392886320","https://openalex.org/W4394849705","https://openalex.org/W4401747729","https://openalex.org/W4402627072","https://openalex.org/W4403203677","https://openalex.org/W4405488477","https://openalex.org/W4408609908","https://openalex.org/W4409284940","https://openalex.org/W4409310500","https://openalex.org/W4411550923","https://openalex.org/W4414463133","https://openalex.org/W4416458606","https://openalex.org/W7133200806","https://openalex.org/W7161825915"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-29T06:13:29.287314","created_date":"2026-06-27T00:00:00"}