{"id":"https://openalex.org/W2008896024","doi":"https://doi.org/10.1109/ssp.2014.6884628","title":"Rao-Blackwellized particle filter for Markov modulated nonlinear dynamic systems","display_name":"Rao-Blackwellized particle filter for Markov modulated nonlinear dynamic systems","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2008896024","doi":"https://doi.org/10.1109/ssp.2014.6884628","mag":"2008896024"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2014.6884628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107395","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058607685","display_name":"Saikat Saha","orcid":"https://orcid.org/0000-0001-7920-7714"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Saikat Saha","raw_affiliation_strings":["Dept. Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001137240","display_name":"Gustaf Hendeby","orcid":"https://orcid.org/0000-0002-1971-4295"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]},{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"funder","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustaf Hendeby","raw_affiliation_strings":["Dept. of Sensor & EW Systems, Swedish Defence Research Agency (FOI), Link\u00f6ping, Sweden","Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Sensor & EW Systems, Swedish Defence Research Agency (FOI), Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1291458624"]},{"raw_affiliation_string":"Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8287,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72917981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"51","issue":null,"first_page":"272","last_page":"275"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9919999837875366,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/particle-filter","display_name":"Particle filter","score":0.8322561979293823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637223482131958},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6162874102592468},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.6071967482566833},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5658079385757446},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5499632954597473},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5082878470420837},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4985172748565674},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.49647146463394165},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4893457293510437},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.4814581274986267},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47153621912002563},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4701576232910156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46401867270469666},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.43196722865104675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4267823100090027},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.42589715123176575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2846340835094452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2662566900253296},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.26446056365966797},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.1794539988040924},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.10690456628799438},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09319433569908142},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08862036466598511},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0715058445930481}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8322561979293823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637223482131958},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6162874102592468},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.6071967482566833},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5658079385757446},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5499632954597473},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5082878470420837},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4985172748565674},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.49647146463394165},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4893457293510437},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.4814581274986267},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47153621912002563},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4701576232910156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46401867270469666},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.43196722865104675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4267823100090027},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.42589715123176575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2846340835094452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2662566900253296},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.26446056365966797},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.1794539988040924},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.10690456628799438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09319433569908142},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08862036466598511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0715058445930481},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssp.2014.6884628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:liu-107395","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107395","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-107395","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107395","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W150371631","https://openalex.org/W605692607","https://openalex.org/W1513008779","https://openalex.org/W1590183771","https://openalex.org/W1974915931","https://openalex.org/W2045553828","https://openalex.org/W2055936398","https://openalex.org/W2102430842","https://openalex.org/W2111241854","https://openalex.org/W2123185183","https://openalex.org/W2125514280","https://openalex.org/W2126736494","https://openalex.org/W2148061324","https://openalex.org/W2162733643","https://openalex.org/W2170621196","https://openalex.org/W2952057173"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W2109576686","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2382411933","https://openalex.org/W2070455225"],"abstract_inverted_index":{"The":[0],"Markov":[1,21],"modulated":[2,22],"(switching)":[3],"state":[4],"space":[5],"is":[6,50,64],"an":[7,62],"important":[8],"model":[9],"paradigm":[10],"in":[11],"statistical":[12],"signal":[13],"processing.":[14],"In":[15,36],"this":[16],"article,":[17],"we":[18,38],"specifically":[19],"consider":[20],"nonlinear":[23],"state-space":[24],"models":[25],"and":[26,61],"address":[27],"the":[28,46,59],"online":[29],"Bayesian":[30],"inference":[31,47],"problem":[32,60],"for":[33,45],"such":[34],"models.":[35],"particular,":[37],"propose":[39],"a":[40],"new":[41],"Rao-Blackwellized":[42],"particle":[43],"filter":[44],"task":[48],"which":[49],"our":[51],"main":[52],"contribution":[53],"here.":[54],"A":[55],"detailed":[56],"description":[57],"of":[58],"algorithm":[63],"presented.":[65]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}
