{"id":"https://openalex.org/W2899502755","doi":"https://doi.org/10.1007/s00034-018-0972-8","title":"Robust Linear Filter with Parameter Estimation Under Student-t Measurement Distribution","display_name":"Robust Linear Filter with Parameter Estimation Under Student-t Measurement Distribution","publication_year":2018,"publication_date":"2018-11-03","ids":{"openalex":"https://openalex.org/W2899502755","doi":"https://doi.org/10.1007/s00034-018-0972-8","mag":"2899502755"},"language":"en","primary_location":{"id":"doi:10.1007/s00034-018-0972-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00034-018-0972-8","pdf_url":null,"source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and 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/A5028561242","display_name":"Zongyuan Wang","orcid":"https://orcid.org/0000-0001-9701-6639"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyuan Wang","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, 150001, China","College of Science, Harbin Engineering University, Harbin, 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Science, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936694","display_name":"Weidong Zhou","orcid":"https://orcid.org/0000-0001-5897-6485"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Zhou","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, 150001, China"],"raw_orcid":"https://orcid.org/0000-0001-5897-6485","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101936694"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.6798,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88167656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"38","issue":"6","first_page":"2445","last_page":"2470"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11698","display_name":"Underwater Acoustics Research","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6736327409744263},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6481727957725525},{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.6372157335281372},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.6187916398048401},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6042212843894958},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5272768139839172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5064631700515747},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.48667341470718384},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.481735497713089},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4685567021369934},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4583664536476135},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44845056533813477},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43478915095329285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42745158076286316},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.426058292388916},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.42517584562301636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4128214120864868},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.40182533860206604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3611578941345215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15921220183372498},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07525438070297241}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6736327409744263},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6481727957725525},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.6372157335281372},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.6187916398048401},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6042212843894958},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5272768139839172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5064631700515747},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.48667341470718384},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.481735497713089},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4685567021369934},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4583664536476135},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44845056533813477},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43478915095329285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42745158076286316},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.426058292388916},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.42517584562301636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4128214120864868},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.40182533860206604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3611578941345215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15921220183372498},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07525438070297241},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00034-018-0972-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00034-018-0972-8","pdf_url":null,"source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3980354054","display_name":null,"funder_award_id":"61773133","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":29,"referenced_works":["https://openalex.org/W212904111","https://openalex.org/W1190147142","https://openalex.org/W1570770495","https://openalex.org/W1663973292","https://openalex.org/W1974481980","https://openalex.org/W1974487166","https://openalex.org/W1983989471","https://openalex.org/W1984197955","https://openalex.org/W2000721204","https://openalex.org/W2007249861","https://openalex.org/W2030109968","https://openalex.org/W2050114157","https://openalex.org/W2062100941","https://openalex.org/W2068974335","https://openalex.org/W2088735810","https://openalex.org/W2095376999","https://openalex.org/W2096678341","https://openalex.org/W2103816858","https://openalex.org/W2104130465","https://openalex.org/W2120211304","https://openalex.org/W2281024414","https://openalex.org/W2330146556","https://openalex.org/W2516272379","https://openalex.org/W2575097171","https://openalex.org/W2585921769","https://openalex.org/W2613225548","https://openalex.org/W4240790602","https://openalex.org/W6600225990","https://openalex.org/W6607131719"],"related_works":["https://openalex.org/W4206024512","https://openalex.org/W2150837402","https://openalex.org/W2053335193","https://openalex.org/W2263628162","https://openalex.org/W3190919334","https://openalex.org/W2491009754","https://openalex.org/W4386026724","https://openalex.org/W2354442010","https://openalex.org/W2273094032","https://openalex.org/W4388092507"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}