{"id":"https://openalex.org/W3095255538","doi":"https://doi.org/10.1109/rfid49298.2020.9244910","title":"Nonlinear Least-Squares State Estimation for 2D RFID-Based Motion Capture","display_name":"Nonlinear Least-Squares State Estimation for 2D RFID-Based Motion Capture","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3095255538","doi":"https://doi.org/10.1109/rfid49298.2020.9244910","mag":"3095255538"},"language":"en","primary_location":{"id":"doi:10.1109/rfid49298.2020.9244910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid49298.2020.9244910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on RFID (RFID)","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/A5007480898","display_name":"Qian Yang","orcid":"https://orcid.org/0000-0002-2504-5868"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Yang","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101580132","display_name":"David G. Taylor","orcid":"https://orcid.org/0000-0002-3393-0293"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Taylor","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009253819","display_name":"Gregory D. Durgin","orcid":"https://orcid.org/0000-0002-9491-2603"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory D. Durgin","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007480898"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.1027,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43874486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"141","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/initialization","display_name":"Initialization","score":0.8300154209136963},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6423330307006836},{"id":"https://openalex.org/keywords/non-linear-least-squares","display_name":"Non-linear least squares","score":0.6010318398475647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993490815162659},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5597540140151978},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5217835903167725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5068522095680237},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.49443769454956055},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3338702321052551},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3004193902015686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22280332446098328},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11161795258522034}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8300154209136963},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6423330307006836},{"id":"https://openalex.org/C45923927","wikidata":"https://www.wikidata.org/wiki/Q3319230","display_name":"Non-linear least squares","level":3,"score":0.6010318398475647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993490815162659},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5597540140151978},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5217835903167725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5068522095680237},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.49443769454956055},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3338702321052551},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3004193902015686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22280332446098328},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11161795258522034},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid49298.2020.9244910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid49298.2020.9244910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on RFID (RFID)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1786620475","https://openalex.org/W2076186907","https://openalex.org/W2087070363","https://openalex.org/W2111067675","https://openalex.org/W2150194941","https://openalex.org/W2170102584","https://openalex.org/W2196222222","https://openalex.org/W2256578114","https://openalex.org/W2790374560","https://openalex.org/W2794413559","https://openalex.org/W2827033964","https://openalex.org/W2892078692","https://openalex.org/W2945901836","https://openalex.org/W2969473791","https://openalex.org/W6637984981","https://openalex.org/W6687415049"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2085567107","https://openalex.org/W3008769351","https://openalex.org/W2079886324","https://openalex.org/W1976177296","https://openalex.org/W2014843197","https://openalex.org/W2154818690"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,15,38,63,66,74],"general":[6],"technique":[7],"for":[8,14,31],"implementing":[9],"nonlinear":[10,82],"least-squares":[11],"state":[12],"estimation":[13],"two-dimensional":[16],"RFID-based":[17],"motion":[18],"capture":[19],"problem":[20],"that":[21,51],"can":[22],"achieve":[23],"1.45":[24],"cm":[25],"localization":[26],"accuracy":[27],"without":[28],"the":[29,45],"need":[30],"special":[32],"initialization":[33],"or":[34],"tuning":[35],"processes":[36],"-":[37],"significant":[39],"improvement":[40],"over":[41],"previous":[42],"results":[43],"in":[44,73,95],"literature.":[46],"We":[47],"demonstrate":[48],"various":[49],"algorithms":[50],"use":[52],"different":[53,81,88],"combinations":[54],"of":[55,93],"received":[56],"signal":[57,61],"strength":[58],"(RSS),":[59],"backscatter":[60,77],"phase,":[62],"3-axis":[64,67,70],"accelerometer,":[65],"gyrometer,":[68],"and":[69,85,87],"magnetometer":[71],"measured":[72],"live":[75],"microwave":[76],"system.":[78],"Permutations":[79],"involving":[80],"solvers":[83],"(Gauss-Newton":[84],"Levenberg-Marquardt)":[86],"stack":[89],"levels":[90],"(the":[91],"number":[92],"samples":[94],"time":[96],"incorporated":[97],"into":[98],"an":[99],"estimation)":[100],"are":[101],"addressed.":[102]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}