{"id":"https://openalex.org/W1974977774","doi":"https://doi.org/10.1109/isspa.2012.6310644","title":"Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for Jump Markov State Space Systems","display_name":"Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for Jump Markov State Space Systems","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1974977774","doi":"https://doi.org/10.1109/isspa.2012.6310644","mag":"1974977774"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001420728","display_name":"Yohan Petetin","orcid":"https://orcid.org/0000-0001-9200-783X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4405261500","display_name":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","ror":"https://ror.org/05d29yv45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan Petetin","raw_affiliation_strings":["CITI Department and CNRS UMR 5157, Telecom Institute / Telecom SudParis, Evry, France","CNRS - Centre National de la Recherche Scientifique (France)","SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITI Department and CNRS UMR 5157, Telecom Institute / Telecom SudParis, Evry, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19370010","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]},{"raw_affiliation_string":"TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014563916","display_name":"Fran\u00e7ois Desbouvries","orcid":"https://orcid.org/0000-0002-2741-1569"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4405261500","display_name":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","ror":"https://ror.org/05d29yv45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Desbouvries","raw_affiliation_strings":["CITI Department and CNRS UMR 5157, Telecom Institute / Telecom SudParis, Evry, France","CNRS - Centre National de la Recherche Scientifique (France)","SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITI Department and CNRS UMR 5157, Telecom Institute / Telecom SudParis, Evry, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19370010","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]},{"raw_affiliation_string":"TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2602,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45285885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"706","last_page":"711"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955999851226807,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9950000047683716,"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/particle-filter","display_name":"Particle filter","score":0.7975752353668213},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6163832545280457},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5846401453018188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5746532678604126},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5218419432640076},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.5150251388549805},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5053334832191467},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4775474965572357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47567883133888245},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4457830488681793},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.43694907426834106},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42682990431785583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4108262062072754},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3812224864959717},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3805071711540222},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35635697841644287},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32160189747810364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1429583728313446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11918467283248901},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08192750811576843}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7975752353668213},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6163832545280457},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5846401453018188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5746532678604126},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5218419432640076},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.5150251388549805},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5053334832191467},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4775474965572357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47567883133888245},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4457830488681793},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.43694907426834106},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42682990431785583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4108262062072754},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3812224864959717},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3805071711540222},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35635697841644287},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32160189747810364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1429583728313446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11918467283248901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08192750811576843},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isspa.2012.6310644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.455.7501","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.7501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-public.int-evry.fr/~desbouvr/papiers-web/isspa-se-JM.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00765888v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00765888","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.706-711, &#x27E8;10.1109/ISSPA.2012.6310644&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1513008779","https://openalex.org/W1531532259","https://openalex.org/W2022023686","https://openalex.org/W2045553828","https://openalex.org/W2054929958","https://openalex.org/W2057487175","https://openalex.org/W2085738358","https://openalex.org/W2114690521","https://openalex.org/W2121712307","https://openalex.org/W2123487311","https://openalex.org/W2128648822","https://openalex.org/W2137345842","https://openalex.org/W2148061324","https://openalex.org/W2162791632","https://openalex.org/W3149964614","https://openalex.org/W4233299515","https://openalex.org/W4241181106","https://openalex.org/W4251232855"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2158700654","https://openalex.org/W2379938888","https://openalex.org/W2566202039","https://openalex.org/W4233405330"],"abstract_inverted_index":{"Exact":[0],"Bayesian":[1],"filtering":[2],"is":[3,99],"impossible":[4],"in":[5,13,34,113],"Jump":[6,44],"Markov":[7,45],"State":[8],"Space":[9],"Systems":[10,47],"(JMSS),":[11],"even":[12],"the":[14,39,85,114,128,133,138],"simple":[15],"linear":[16],"and":[17,31,72,76],"Gaussian":[18],"case.":[19],"Suboptimal":[20],"solutions":[21],"include":[22],"sequential":[23],"Monte-Carlo":[24],"(SMC)":[25],"algorithms":[26],"which":[27,53,107],"are":[28,32,49],"indeed":[29],"popular,":[30],"declined":[33],"different":[35],"versions":[36],"according":[37],"to":[38,90,101],"JMSS":[40,51],"considered.":[41],"In":[42,92],"particular,":[43],"Linear":[46],"(JMLS)":[48],"particular":[50],"for":[52],"a":[54,68,103,109,141],"Rao-Blackwellized":[55],"(RB)":[56],"Particle":[57],"Filter":[58],"(PF)":[59],"has":[60],"been":[61],"derived.":[62],"The":[63,122],"RBPF":[64,105,116,130],"solution":[65],"relies":[66],"on":[67],"combination":[69],"of":[70,87,135,140],"PF":[71],"Kalman":[73],"Filtering":[74],"(KF),":[75],"RBPF-based":[77,124],"moment":[78,125],"estimators":[79],"outperform":[80],"purely":[81],"SMC-based":[82],"ones":[83],"when":[84],"number":[86,134],"samples":[88],"tends":[89],"infinity.":[91],"this":[93],"paper,":[94],"we":[95],"show":[96],"that":[97],"it":[98],"possible":[100],"derive":[102],"new":[104,123],"solution,":[106],"implements":[108],"further":[110],"RB":[111],"step":[112],"already":[115],"with":[117],"optimal":[118],"importance":[119],"distribution":[120],"(ID).":[121],"estimator":[126],"outperforms":[127],"classical":[129],"one":[131],"whatever":[132],"particles,":[136],"at":[137],"expense":[139],"reasonable":[142],"extra":[143],"computational":[144],"cost.":[145]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
