{"id":"https://openalex.org/W3208806299","doi":"https://doi.org/10.1109/icsipa52582.2021.9576807","title":"A Fast and Unbiased Minimalistic Resampling Approach for the Particle Filter","display_name":"A Fast and Unbiased Minimalistic Resampling Approach for the Particle Filter","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3208806299","doi":"https://doi.org/10.1109/icsipa52582.2021.9576807","mag":"3208806299"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa52582.2021.9576807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-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/A5024994241","display_name":"Ramakrishna Gurajala","orcid":null},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramakrishna Gurajala","raw_affiliation_strings":["Dept. of E.C.E., Andhra University, Visakhapatnam, India"],"affiliations":[{"raw_affiliation_string":"Dept. of E.C.E., Andhra University, Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041212547","display_name":"Praveen B. Choppala","orcid":"https://orcid.org/0000-0002-7360-1822"},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praveen B. Choppala","raw_affiliation_strings":["Dept. of E.C.E., WISTM Andhra Univ., Visakhapatnam, India"],"affiliations":[{"raw_affiliation_string":"Dept. of E.C.E., WISTM Andhra Univ., Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062771052","display_name":"James Stephen Meka","orcid":"https://orcid.org/0000-0003-2322-1175"},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"James Stephen Meka","raw_affiliation_strings":["Dept. of E.C.E., WISTM Andhra Univ., Visakhapatnam, India"],"affiliations":[{"raw_affiliation_string":"Dept. of E.C.E., WISTM Andhra Univ., Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043984331","display_name":"Paul D. Teal","orcid":"https://orcid.org/0000-0002-6111-6280"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Paul D. Teal","raw_affiliation_strings":["School of E.C.S., Victoria Univ. of Wellington, Welington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of E.C.S., Victoria Univ. of Wellington, Welington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024994241"],"corresponding_institution_ids":["https://openalex.org/I100887729"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15813705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"232"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8984910249710083},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.8006271719932556},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.7445814609527588},{"id":"https://openalex.org/keywords/degeneracy","display_name":"Degeneracy (biology)","score":0.6522176265716553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5019497871398926},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49096158146858215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48562899231910706},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42910295724868774},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4240916967391968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3273080885410309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24409669637680054},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.20787838101387024},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1745290756225586},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16510522365570068},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.08606109023094177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06611058115959167}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8984910249710083},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8006271719932556},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.7445814609527588},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.6522176265716553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5019497871398926},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49096158146858215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48562899231910706},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42910295724868774},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4240916967391968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3273080885410309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24409669637680054},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.20787838101387024},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1745290756225586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16510522365570068},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.08606109023094177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06611058115959167},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1109/icsipa52582.2021.9576807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4399999976158142,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W281999536","https://openalex.org/W1523566075","https://openalex.org/W1932940155","https://openalex.org/W1973636889","https://openalex.org/W1990193860","https://openalex.org/W2010524786","https://openalex.org/W2026999222","https://openalex.org/W2064480843","https://openalex.org/W2077611006","https://openalex.org/W2082542916","https://openalex.org/W2098613108","https://openalex.org/W2130363011","https://openalex.org/W2141585124","https://openalex.org/W2159901472","https://openalex.org/W2294875987","https://openalex.org/W4255133955","https://openalex.org/W6610284511","https://openalex.org/W6631366618","https://openalex.org/W6679627699","https://openalex.org/W6683582081"],"related_works":["https://openalex.org/W3144709167","https://openalex.org/W1824810860","https://openalex.org/W2162253570","https://openalex.org/W2368144031","https://openalex.org/W2355962871","https://openalex.org/W2758742130","https://openalex.org/W2372707641","https://openalex.org/W2126226614","https://openalex.org/W2406829934","https://openalex.org/W2353687059"],"abstract_inverted_index":{"The":[0,16,41,66],"particle":[1,21],"filter":[2,22],"is":[3,23],"an":[4,95],"important":[5],"approximation":[6,84,97],"method":[7],"for":[8],"online":[9],"state":[10],"estimation":[11],"in":[12,19,48],"nonlinear":[13],"nonGaussian":[14],"scenarios.":[15],"resampling":[17,91],"step":[18],"the":[20,28,38,50,59,76,99,106],"critical":[24],"because":[25],"it":[26],"eliminates":[27],"wasteful":[29],"use":[30],"of":[31,98],"particles":[32,60,79],"that":[33,93],"do":[34],"not":[35],"contribute":[36],"to":[37,83],"posterior":[39,51,100],"(degeneracy).":[40],"fully":[42],"stochastic":[43],"resamplers,":[44],"despite":[45],"being":[46],"unbiased":[47],"approximating":[49],"density,":[52],"involve":[53],"exhaustive":[54],"and":[55,61,101],"sequential":[56],"communication":[57,77],"within":[58,78],"thus":[62],"are":[63],"computationally":[64],"expensive.":[65],"alternate":[67],"partial":[68],"deterministic":[69],"resamplers":[70],"overcome":[71],"this":[72,81],"problem":[73],"by":[74],"reducing":[75],"but":[80],"leads":[82],"bias.":[85],"This":[86],"paper":[87],"proposes":[88],"a":[89],"fast":[90],"procedure":[92],"gives":[94],"accurate":[96],"tracks":[102],"as":[103,105],"accurately":[104],"conventional":[107],"resamplers.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
