{"id":"https://openalex.org/W3094664616","doi":"https://doi.org/10.1109/rfid49298.2020.9244917","title":"Particle Filter-Based SAR Approach and Trajectory Optimization for Real-Time 3D UHF-RFID Tag Localization","display_name":"Particle Filter-Based SAR Approach and Trajectory Optimization for Real-Time 3D UHF-RFID Tag Localization","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3094664616","doi":"https://doi.org/10.1109/rfid49298.2020.9244917","mag":"3094664616"},"language":"en","primary_location":{"id":"doi:10.1109/rfid49298.2020.9244917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid49298.2020.9244917","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/A5058022806","display_name":"Matthias Gareis","orcid":"https://orcid.org/0000-0003-2294-0741"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Gareis","raw_affiliation_strings":["Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006585325","display_name":"Patrick Fenske","orcid":"https://orcid.org/0000-0002-5526-1836"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Fenske","raw_affiliation_strings":["Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072403760","display_name":"Christian Carlowitz","orcid":"https://orcid.org/0000-0002-7561-4838"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Carlowitz","raw_affiliation_strings":["Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026943179","display_name":"Martin Vossiek","orcid":"https://orcid.org/0000-0002-8369-345X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Vossiek","raw_affiliation_strings":["Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Microwaves and Photonics, Friedrich-Alexander University, Erlangen-Nuernberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058022806"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":4.4871,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93873691,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9998000264167786,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7883048057556152},{"id":"https://openalex.org/keywords/ultra-high-frequency","display_name":"Ultra high frequency","score":0.6897339224815369},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5967934727668762},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5663396716117859},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5004658699035645},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4667767584323883},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.458724707365036},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4536452293395996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37944847345352173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.361916720867157},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14869126677513123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883048057556152},{"id":"https://openalex.org/C96122199","wikidata":"https://www.wikidata.org/wiki/Q628096","display_name":"Ultra high frequency","level":2,"score":0.6897339224815369},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5967934727668762},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5663396716117859},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5004658699035645},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4667767584323883},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.458724707365036},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4536452293395996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37944847345352173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.361916720867157},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14869126677513123},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid49298.2020.9244917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid49298.2020.9244917","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W170770739","https://openalex.org/W658204242","https://openalex.org/W1964067075","https://openalex.org/W2026384490","https://openalex.org/W2074435048","https://openalex.org/W2078810600","https://openalex.org/W2086908048","https://openalex.org/W2093243184","https://openalex.org/W2115503073","https://openalex.org/W2149840499","https://openalex.org/W2160337655","https://openalex.org/W2160584648","https://openalex.org/W2169376837","https://openalex.org/W2241665719","https://openalex.org/W2336416123","https://openalex.org/W2398041400","https://openalex.org/W2460285484","https://openalex.org/W2482763840","https://openalex.org/W2624713442","https://openalex.org/W2750959873","https://openalex.org/W2901967014","https://openalex.org/W2902725612","https://openalex.org/W2986027862","https://openalex.org/W4232464081","https://openalex.org/W6684929306","https://openalex.org/W6739213837"],"related_works":["https://openalex.org/W2036374021","https://openalex.org/W2925227264","https://openalex.org/W3090532395","https://openalex.org/W2347832052","https://openalex.org/W2370825978","https://openalex.org/W2369450403","https://openalex.org/W2171623482","https://openalex.org/W2167441838","https://openalex.org/W1991397907","https://openalex.org/W1502948836"],"abstract_inverted_index":{"The":[0,92,224],"availability":[1,121],"of":[2,21,95,122,143,153,165,175,192,203,217,244],"three-dimensional":[3],"(3D)":[4],"product":[5,215],"maps":[6],"is":[7,29,98,232,239],"among":[8],"the":[9,19,27,43,72,96,103,123,141,144,151,163,173,186,199,207,236],"most":[10],"important":[11],"factors":[12],"for":[13,78],"smart":[14],"warehouse":[15],"environments":[16],"connected":[17],"to":[18,26,156,185],"Internet":[20],"Things.":[22],"Therefore,":[23],"online":[24,120],"access":[25],"data":[28,114],"a":[30,83,89,128,213,242],"key":[31],"feature":[32],"that":[33,135],"can":[34],"only":[35],"be":[36],"provided":[37],"by":[38,65,211,241],"real-time":[39,131,166],"localization":[40,60,132,183,200],"systems.":[41],"With":[42],"well-known":[44,187],"synthetic":[45,105],"aperture":[46,106],"radar":[47,107],"technique":[48,134,184,205],"in":[49,80,190],"combination":[50],"with":[51,82,88,220],"ultrahigh":[52],"frequency":[53],"(UHF)":[54],"radio-frequency":[55],"identification":[56],"(RFID)":[57],"tags,":[58],"good":[59],"results":[61],"have":[62],"been":[63],"achieved,":[64],"labeling":[66],"tags":[67,97],"on":[68,75,169],"objects":[69,218],"and":[70,112,158,161,172,194,197,235],"measuring":[71],"tag":[73,138,146,170,176],"responses":[74],"generated":[76],"trajectories,":[77],"example":[79],"warehouses,":[81],"mobile":[84],"robot":[85],"platform":[86],"equipped":[87],"UHF-RFID":[90,222],"reader.":[91],"location":[93],"estimation":[94,133],"thus":[99],"made":[100],"offline":[101],"after":[102],"whole":[104],"(SAR)":[108],"trajectory":[109],"was":[110],"driven":[111],"all":[113],"are":[115],"available,":[116],"which":[117],"can't":[118],"provide":[119],"object":[124],"positions.":[125],"We":[126,148,178],"introduce":[127],"particle":[129],"filter-based":[130],"involves":[136],"estimating":[137],"positions":[139],"during":[140],"recording":[142],"incoming":[145],"signals.":[147],"first":[149],"evaluate":[150],"impact":[152],"trajectories":[154],"according":[155],"lateral":[157],"radial":[159],"resolution":[160],"show":[162,198],"capability":[164],"signal":[167],"processing":[168],"counts":[171],"amount":[174],"reads.":[177],"then":[179],"compare":[180],"our":[181,204],"novel":[182],"grid-based":[188],"approach":[189],"terms":[191],"accuracy":[193],"computational":[195],"load":[196],"error":[201,229],"improvement":[202],"over":[206],"filter":[208],"iteration":[209],"steps":[210],"generating":[212],"3D":[214,225],"map":[216],"labeled":[219],"standard":[221],"tags.":[223],"root":[226],"mean":[227],"square":[228],"(RMSE)":[230],"achieved":[231],"2.86":[233],"cm":[234],"computation":[237],"time":[238],"reduced":[240],"factor":[243],"more":[245],"than":[246],"50.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}