{"id":"https://openalex.org/W2901416950","doi":"https://doi.org/10.1109/ipin.2018.8533772","title":"Recursive Bayesian Filters for RSS-Based Device-Free Localization and Tracking","display_name":"Recursive Bayesian Filters for RSS-Based Device-Free Localization and Tracking","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2901416950","doi":"https://doi.org/10.1109/ipin.2018.8533772","mag":"2901416950"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2018.8533772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/en/publications/2a71f894-c9b6-4e02-bdca-f759655332aa","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087233014","display_name":"Ossi Kaltiokallio","orcid":"https://orcid.org/0000-0002-9336-7703"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ossi Kaltiokallio","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074497248","display_name":"Roland Hostettler","orcid":"https://orcid.org/0000-0001-8613-6176"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roland Hostettler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068259004","display_name":"Neal Patwari","orcid":"https://orcid.org/0000-0003-3440-2043"},"institutions":[{"id":"https://openalex.org/I4210117914","display_name":"Xandem Technology (United States)","ror":"https://ror.org/02ecccn63","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117914"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal Patwari","raw_affiliation_strings":["Xandem Technology LLC, Salt Lake City, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xandem Technology LLC, Salt Lake City, USA","institution_ids":["https://openalex.org/I4210117914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059959008","display_name":"Riku J\u00e4ntti","orcid":"https://orcid.org/0000-0002-5398-2381"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Riku Jantti","raw_affiliation_strings":["Department of Communications and Networking, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"362","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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980999827384949,"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/rss","display_name":"RSS","score":0.9454938173294067},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.7768356204032898},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7722434997558594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.68729168176651},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6375893950462341},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5017251968383789},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4667622745037079},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45066016912460327},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43861258029937744},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.43779298663139343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33823680877685547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3369465470314026},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15929579734802246}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.9454938173294067},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.7768356204032898},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7722434997558594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68729168176651},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6375893950462341},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5017251968383789},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4667622745037079},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45066016912460327},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43861258029937744},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.43779298663139343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33823680877685547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3369465470314026},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15929579734802246},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipin.2018.8533772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/36232","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/2a71f894-c9b6-4e02-bdca-f759655332aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/36232","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/2a71f894-c9b6-4e02-bdca-f759655332aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1457125068","https://openalex.org/W1531532259","https://openalex.org/W1902722676","https://openalex.org/W1941817920","https://openalex.org/W1970398760","https://openalex.org/W2000581537","https://openalex.org/W2039506494","https://openalex.org/W2065726711","https://openalex.org/W2114599966","https://openalex.org/W2141056905","https://openalex.org/W2141336889","https://openalex.org/W2147124620","https://openalex.org/W2150890428","https://openalex.org/W2151034334","https://openalex.org/W2160337655","https://openalex.org/W2161280016","https://openalex.org/W2586549589","https://openalex.org/W2963526543","https://openalex.org/W4232464081","https://openalex.org/W6628640152"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2103062922","https://openalex.org/W1585960250","https://openalex.org/W2162299404","https://openalex.org/W2341297234"],"abstract_inverted_index":{"Received":[0],"signal":[1],"strength":[2],"(RSS)-based":[3],"device-free":[4],"localization":[5,44],"applications":[6],"utilize":[7],"the":[8,17,25,34,41,69,74,106,110,122,131,154,158,167,170,177,183,189,194],"communication":[9],"between":[10],"wireless":[11,35],"devices":[12],"for":[13,89],"locating":[14],"people":[15,46],"within":[16],"monitored":[18],"area.":[19],"The":[20,144],"technology":[21],"is":[22,38,61,142,174,198],"based":[23],"on":[24],"fact":[26],"that":[27,67,102],"humans":[28],"cause":[29],"changes":[30],"in":[31,40],"properties":[32,108],"of":[33,45,73,105,109,169],"channel":[36],"which":[37],"observed":[39],"RSS,":[42],"enabling":[43],"without":[47],"requiring":[48],"them":[49],"to":[50,71,120,128],"carry":[51],"any":[52],"sensor,":[53],"tag":[54],"or":[55,84],"device.":[56],"Typically":[57],"this":[58,92],"inverse":[59],"problem":[60],"solved":[62],"using":[63,148,176],"an":[64,81,96],"empirical":[65],"model":[66],"relates":[68],"RSS":[70],"location":[72],"sensors":[75],"and":[76,78,135,137,150,153,172,181],"person,":[77],"utilizing":[79],"either":[80],"imaging":[82,164],"method":[83],"a":[85,114,138,162],"particle":[86],"filter":[87],"(PF)":[88],"positioning.":[90],"In":[91,118],"paper,":[93],"we":[94,125],"present":[95],"extended":[97],"Kalman":[98],"filtering":[99],"(EKF)":[100],"solution":[101],"incorporates":[103],"some":[104],"beneficial":[107],"PF":[111,173,190],"but":[112],"has":[113],"lower":[115],"computational":[116],"overhead.":[117],"order":[119],"make":[121],"EKF":[123,171,184],"work,":[124],"also":[126],"need":[127],"reconsider":[129],"how":[130],"measurements":[132],"are":[133,146],"sampled":[134],"processed,":[136],"new":[139,195],"processing":[140,179,196],"scheme":[141,197],"proposed.":[143],"developments":[145],"validated":[147],"simulations":[149],"experimental":[151],"data,":[152],"results":[155],"imply:":[156],"i)":[157],"non-linear":[159],"filters":[160],"outperform":[161],"popular":[163],"method;":[165],"ii)":[166],"robustness":[168],"improved":[175],"proposed":[178],"scheme;":[180],"iii)":[182],"achieves":[185],"similar":[186],"performance":[187],"as":[188,191,193],"long":[192],"used.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}