{"id":"https://openalex.org/W2128556498","doi":"https://doi.org/10.1109/icassp.2008.4518384","title":"A new Particle Filtering algorithm with structurally optimal importance function","display_name":"A new Particle Filtering algorithm with structurally optimal importance function","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2128556498","doi":"https://doi.org/10.1109/icassp.2008.4518384","mag":"2128556498"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5059020421","display_name":"Boujemaa Ait\u2010El\u2010Fquih","orcid":"https://orcid.org/0000-0003-1119-7585"},"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boujemaa Ait-El-Fquih","raw_affiliation_strings":["GET / INT / Department, GET/INT/CITI and CNRS UMR 5157, Evry, France","Centre National de la Recherche Scientifique","Communications, Images et Traitement de l'Information","Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GET / INT / Department, GET/INT/CITI and CNRS UMR 5157, Evry, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Centre National de la Recherche Scientifique","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Communications, Images et Traitement de l'Information","institution_ids":["https://openalex.org/I4210165912"]},{"raw_affiliation_string":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","institution_ids":[]}]},{"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Desbouvries","raw_affiliation_strings":["GET / INT / Department, GET/INT/CITI and CNRS UMR 5157, Evry, France","Centre National de la Recherche Scientifique","Communications, Images et Traitement de l'Information","Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","Traitement de l'Information Pour Images et Communications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GET / INT / Department, GET/INT/CITI and CNRS UMR 5157, Evry, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Centre National de la Recherche Scientifique","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Communications, Images et Traitement de l'Information","institution_ids":["https://openalex.org/I4210165912"]},{"raw_affiliation_string":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","institution_ids":[]},{"raw_affiliation_string":"Traitement de l'Information Pour Images et Communications","institution_ids":["https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2518,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49948091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3413","last_page":"3416"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8328684568405151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5975702404975891},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.5818029642105103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774129629135132},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5758577585220337},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5715697407722473},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4856609106063843},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48431435227394104},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4700545072555542},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.44544804096221924},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44336646795272827},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4370276927947998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34133630990982056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23760581016540527},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.20294100046157837},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08915016055107117},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.07952165603637695}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8328684568405151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5975702404975891},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.5818029642105103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774129629135132},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5758577585220337},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5715697407722473},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4856609106063843},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48431435227394104},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4700545072555542},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.44544804096221924},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44336646795272827},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4370276927947998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34133630990982056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23760581016540527},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.20294100046157837},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08915016055107117},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.07952165603637695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"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/icassp.2008.4518384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.386.8305","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.8305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-public.it-sudparis.eu/~desbouvr/papiers-web/icassp2008-boujemaa.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01393479v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01393479","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":"ICASSP 2008 : IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States. pp.3413 - 3416, &#x27E8;10.1109/ICASSP.2008.4518384&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1509279716","https://openalex.org/W1883186006","https://openalex.org/W1993348354","https://openalex.org/W2055936398","https://openalex.org/W2098613108","https://openalex.org/W2126736494","https://openalex.org/W2160337655","https://openalex.org/W2294875987","https://openalex.org/W4250389103","https://openalex.org/W4255133955","https://openalex.org/W6630625954"],"related_works":["https://openalex.org/W2126907425","https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W1497303808","https://openalex.org/W2075503097","https://openalex.org/W2514372983","https://openalex.org/W2208639223","https://openalex.org/W2195963939","https://openalex.org/W2124156864","https://openalex.org/W2381817522"],"abstract_inverted_index":{"Bayesian":[0],"estimation":[1],"in":[2,22,72],"nonlinear":[3],"stochastic":[4],"dynamical":[5],"systems":[6],"has":[7],"been":[8,70],"addressed":[9],"for":[10,115],"a":[11,24,31,36,64,99],"long":[12],"time.":[13],"Among":[14],"other":[15],"solutions,":[16],"particle":[17],"filtering":[18,33,93],"(PF)":[19],"algorithms":[20,42],"propagate":[21],"time":[23],"Monte":[25],"Carlo":[26],"(MC)":[27],"approximation":[28,95],"of":[29,38,103,128],"the":[30,39,45,73,85,92,116,119,125,129],"posteriori":[32],"measure.":[34],"However,":[35],"drawback":[37],"classical":[40],"PF":[41],"is":[43,51,96,107,137],"that":[44,108],"optimal":[46,120],"conditional":[47],"importance":[48,88],"distribution":[49],"(CID)":[50],"often":[52,138],"difficult":[53],"(or":[54],"even":[55],"impossible)":[56],"to":[57,60,123,140],"compute":[58],"and":[59,112],"sample":[61,141],"from.":[62,142],"As":[63],"consequence,":[65],"suboptimal":[66],"sampling":[67,89],"strategies":[68],"have":[69],"proposed":[71],"literature.":[74],"In":[75],"this":[76,80,104],"paper":[77],"we":[78],"bypass":[79],"difficulty":[81],"by":[82],"rather":[83],"considering":[84],"prediction":[86,117],"sequential":[87],"(SIS)":[90],"problem;":[91],"MC":[94],"obtained":[97],"as":[98],"byproduct.":[100],"The":[101],"advantage":[102],"prediction-PF":[105],"method":[106],"it":[109,136],"combines":[110],"optimality":[111],"simplicity,":[113],"since":[114],"problem,":[118],"CID":[121],"happens":[122],"be":[124],"prior":[126],"transition":[127],"underlying":[130],"Markov":[131],"chain":[132],"(MC),":[133],"from":[134],"which":[135],"simple":[139]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
