{"id":"https://openalex.org/W4210342892","doi":"https://doi.org/10.1109/cdc45484.2021.9682987","title":"Distributed Computation of a Robust Estimator Based on Cauchy Noises","display_name":"Distributed Computation of a Robust Estimator Based on Cauchy Noises","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4210342892","doi":"https://doi.org/10.1109/cdc45484.2021.9682987"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9682987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9682987","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"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":"2021 60th IEEE Conference on Decision and Control (CDC)","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/A5082838570","display_name":"Nathaniel Snyder","orcid":"https://orcid.org/0000-0001-5134-7299"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nathaniel Snyder","raw_affiliation_strings":["UCLA,Department of Mechanical and Aerospace Engineering"],"affiliations":[{"raw_affiliation_string":"UCLA,Department of Mechanical and Aerospace Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020946117","display_name":"Moshe Idan","orcid":"https://orcid.org/0000-0002-4825-3811"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moshe Idan","raw_affiliation_strings":["Technion,Faculty of Aerospace Engineering,Haifa,Israel","Faculty of Aerospace Engineering, Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion,Faculty of Aerospace Engineering,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Faculty of Aerospace Engineering, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069195481","display_name":"Jason L. Speyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason L. Speyer","raw_affiliation_strings":["UCLA,Department of Mechanical and Aerospace Engineering"],"affiliations":[{"raw_affiliation_string":"UCLA,Department of Mechanical and Aerospace Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082838570"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40970275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6584","last_page":"6590"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9969000220298767,"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/cauchy-distribution","display_name":"Cauchy distribution","score":0.7343188524246216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6610270142555237},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6275275945663452},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.5305631160736084},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5121281147003174},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45652830600738525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38066428899765015},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36854398250579834},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1492469310760498}],"concepts":[{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.7343188524246216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6610270142555237},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6275275945663452},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.5305631160736084},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5121281147003174},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45652830600738525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38066428899765015},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36854398250579834},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1492469310760498},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc45484.2021.9682987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9682987","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"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":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1480526195","https://openalex.org/W1991490918","https://openalex.org/W2027866604","https://openalex.org/W2030996579","https://openalex.org/W2069420277","https://openalex.org/W2105934661","https://openalex.org/W2151296344","https://openalex.org/W2785447469","https://openalex.org/W2962913013","https://openalex.org/W2964061302","https://openalex.org/W4205899287","https://openalex.org/W4250589301","https://openalex.org/W4254979068"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2019467317","https://openalex.org/W1585519779","https://openalex.org/W1965515989","https://openalex.org/W2088737283","https://openalex.org/W1999587863","https://openalex.org/W1929902734","https://openalex.org/W3104474499","https://openalex.org/W4376167435","https://openalex.org/W2042783797"],"abstract_inverted_index":{"A":[0,211],"real-time,":[1],"recursive,":[2],"multivariate":[3],"estimation":[4,49],"algorithm":[5],"for":[6,47,55,111,266],"time-invariant":[7,214],"and":[8,68,235,261],"time-varying":[9],"linear":[10],"systems":[11],"with":[12,98,177],"modelled":[13],"Cauchy":[14,27,61,125,209,225,236,259],"noises":[15],"is":[16,90,160,217],"developed.":[17],"When":[18],"previously":[19],"compared":[20,246],"to":[21,31,63,133,181,197,219,233,247],"the":[22,25,38,59,74,80,84,120,124,135,199,204,208,221,224,228,248,254,258,263],"Kalman":[23,229],"Filter,":[24],"Multivariate":[26,60],"Estimator":[28,62,226,260],"was":[29],"shown":[30],"be":[32,109,142,182],"robust":[33],"against":[34,227],"impulsive":[35],"disturbances":[36],"in":[37,194,203],"process":[39],"or":[40],"measurement":[41,85],"functions,":[42],"but":[43],"proved":[44],"computationally":[45,69],"intractable":[46],"real-time":[48,255],"applications.":[50],"Two":[51],"significant":[52],"insights":[53],"allow":[54],"a":[56,65,93,105,145,185,267,272],"reformulation":[57,173],"of":[58,73,79,95,119,123,137,147,167,192,207,223,242,257],"possess":[64],"streamlined":[66],"recursive":[67],"reduced":[70,183],"characteristic":[71,88,121,139,205],"function":[72,78,89,122,140,206],"conditional":[75],"probability":[76],"density":[77],"system":[81,166,215,269],"state-vector":[82],"given":[83],"sequence.":[86],"This":[87,158],"represented":[91],"by":[92,162],"sum":[94],"terms,":[96],"expanding":[97],"each":[99,112,117],"measurement.":[100],"First,":[101],"we":[102,189,252],"show":[103,129],"that":[104,130,171],"cell-enumeration":[106],"matrix":[107],"can":[108,141],"computed":[110],"hyperplane":[113,179],"arrangement":[114],"embedded":[115],"within":[116],"term":[118],"Estimator.":[126,210],"We":[127,169,238],"then":[128],"functions":[131,152],"used":[132,218],"formulate":[134],"terms":[136,176],"this":[138,155],"expressed":[143],"as":[144],"vector":[146,159],"parameters":[148],"operating":[149],"on":[150,271],"basis":[151],"constructed":[153],"from":[154],"enumeration":[156],"matrix.":[157],"obtained":[161],"solving":[163],"an":[164],"under-determined":[165],"equations.":[168],"demonstrate":[170],"our":[172],"allows":[174],"all":[175],"equal":[178],"arrangements":[180],"into":[184],"unique":[186],"set.":[187],"Secondly,":[188],"take":[190],"advantage":[191],"advances":[193],"parallel":[195],"processing":[196,279],"exploit":[198],"inherent":[200],"parallelism":[201],"found":[202],"three":[212],"state":[213],"example":[216],"illustrate":[220],"performance":[222],"Filter":[230],"when":[231,245],"subjected":[232],"Gaussian":[234],"noises.":[237],"report":[239,262],"computational":[240],"savings":[241],"over":[243],"99%":[244],"previous":[249],"formulation.":[250],"Furthermore,":[251],"discuss":[253],"architecture":[256],"execution":[264],"speeds":[265],"three-state":[268],"implemented":[270],"single":[273],"NVIDIA":[274],"GeForce":[275],"GTX":[276],"1060":[277],"graphics":[278],"unit":[280],"(GPU).":[281]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}