{"id":"https://openalex.org/W1966337961","doi":"https://doi.org/10.1109/ipin.2012.6418940","title":"Fingerprinting based localisation revisited: A rigorous approach for comparing RSSI measurements coping with missed access points and differing antenna attenuations","display_name":"Fingerprinting based localisation revisited: A rigorous approach for comparing RSSI measurements coping with missed access points and differing antenna attenuations","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1966337961","doi":"https://doi.org/10.1109/ipin.2012.6418940","mag":"1966337961"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2012.6418940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2012.6418940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5012183963","display_name":"Christian Beder","orcid":"https://orcid.org/0000-0001-8485-019X"},"institutions":[{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Christian Beder","raw_affiliation_strings":["Nimbus Centre for Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nimbus Centre for Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","institution_ids":["https://openalex.org/I4210100923"]},{"raw_affiliation_string":"[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]","institution_ids":["https://openalex.org/I4210100923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064084325","display_name":"Martin Klepal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Martin Klepal","raw_affiliation_strings":["Nimbus Centre for Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nimbus Centre for Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","institution_ids":["https://openalex.org/I4210100923"]},{"raw_affiliation_string":"[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]","institution_ids":["https://openalex.org/I4210100923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4984,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89436603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"7"},"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":0.9984999895095825,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9860000014305115,"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/computer-science","display_name":"Computer science","score":0.6604733467102051},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.532605767250061},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.531762421131134},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4897015392780304},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4825800955295563},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47224491834640503},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4337296485900879},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4107867479324341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35920190811157227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27788156270980835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2689328193664551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2584289014339447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604733467102051},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.532605767250061},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.531762421131134},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4897015392780304},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4825800955295563},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47224491834640503},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4337296485900879},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4107867479324341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35920190811157227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27788156270980835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2689328193664551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2584289014339447},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/ipin.2012.6418940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2012.6418940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9616141","https://openalex.org/W1599976967","https://openalex.org/W1608826770","https://openalex.org/W1790231888","https://openalex.org/W1965347874","https://openalex.org/W1998812182","https://openalex.org/W2054799039","https://openalex.org/W2060141207","https://openalex.org/W2065804921","https://openalex.org/W2066579835","https://openalex.org/W2079474983","https://openalex.org/W2106048721","https://openalex.org/W2124945426","https://openalex.org/W2129042888","https://openalex.org/W2133874683","https://openalex.org/W2139144587","https://openalex.org/W2140772441","https://openalex.org/W2144723957","https://openalex.org/W2166221222","https://openalex.org/W2170102584","https://openalex.org/W3134357207","https://openalex.org/W6635827122","https://openalex.org/W6638190000","https://openalex.org/W6641595666","https://openalex.org/W6667107372","https://openalex.org/W6791420056"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W4206659427","https://openalex.org/W2170062176","https://openalex.org/W2148135840","https://openalex.org/W106004901","https://openalex.org/W2973622563","https://openalex.org/W2055243143"],"abstract_inverted_index":{"Fingerprinting":[0],"based":[1,144,156,309],"localisation":[2,67,80,311],"systems":[3],"rely":[4],"on":[5,37,145,157,171,191],"taking":[6],"a":[7,54,140,168,223,250,306],"radio":[8],"map":[9,23],"of":[10,17,31,40,104,161,174,187,205,241,253,295],"the":[11,15,18,29,38,59,66,88,115,120,162,172,175,185,202,206,215,230,239,254,275,280,293],"environment":[12],"and":[13,69,78,278,301],"determine":[14],"position":[16],"device":[19],"by":[20,179,210,270],"comparing":[21],"this":[22,41,134,197,221,296],"to":[24,91,100,219,228,261,265],"its":[25,303],"current":[26],"measurements.":[27],"Therefore":[28],"performance":[30,304],"any":[32],"such":[33,139],"system":[34],"heavily":[35],"relies":[36],"accuracy":[39],"comparison.":[42],"Typically":[43],"two":[44],"problems":[45],"arise:":[46],"first,":[47],"access":[48,212,231],"points":[49,213],"can":[50],"be":[51,87],"missed":[52],"in":[53,114,130,214,222,267,305],"scanning":[55],"cycle":[56],"both":[57,103],"during":[58,65],"fingerprinting":[60,77],"phase":[61,68],"as":[62,64,285],"well":[63],"second,":[70],"if":[71],"different":[72,131],"devices":[73],"are":[74],"used":[75],"for":[76,79,111,127,245],"their":[81],"received":[82],"signal":[83],"strengths":[84],"might":[85],"not":[86],"same":[89,116,121],"due":[90],"differing":[92],"antenna":[93,268],"attenuation.":[94],"A":[95],"successful":[96],"comparison":[97],"function":[98,143,257,300],"has":[99],"cope":[101],"with":[102],"these":[105,246,272],"issues":[106],"yielding":[107],"repeatable":[108],"high":[109,125],"likelihoods":[110],"measurements":[112,128],"taken":[113,129],"location":[117],"while":[118],"at":[119],"time":[122],"providing":[123],"sufficiently":[124],"discrimination":[126],"locations.":[132],"In":[133,217],"paper":[135],"we":[136,151,226,258],"will":[137,152,291],"propose":[138,227,260],"likelihood":[141,255,298],"observation":[142,256,283,299],"rigorous":[146,224],"assumptions.":[147],"Like":[148],"most":[149],"approaches":[150],"compare":[153,302],"RSSI":[154],"values":[155],"squared":[158,282],"Euclidean":[159],"distance":[160,287],"log":[163],"energies,":[164],"which":[165],"is":[166],"essentially":[167],"Gaussian":[169],"assumption":[170],"distribution":[173],"measurement":[176],"error":[177,194],"justifiable":[178],"arguments":[180],"like":[181],"maximum":[182],"entropy":[183],"or":[184],"law":[186],"large":[188],"numbers":[189],"acting":[190],"multiple":[192],"additive":[193],"sources.":[195],"However,":[196],"naive":[198],"approach":[199],"suffers":[200],"from":[201,274],"varying":[203],"dimensionality":[204],"log-energy":[207,276],"space":[208],"caused":[209],"missing":[211],"measurement.":[216],"order":[218],"overcome":[220],"manner":[225],"model":[229],"point":[232],"pickup":[233],"probabilities":[234],"using":[235,279],"Gibbs":[236],"distributions":[237],"enabling":[238],"introduction":[240],"rigorously":[242],"motivated":[243],"penalties":[244],"dimension":[247],"mismatches.":[248],"As":[249],"further":[251],"extension":[252],"also":[259],"make":[262],"it":[263],"invariant":[264,286],"differences":[266],"attenuation":[269],"estimating":[271],"explicitly":[273],"observations":[277],"minimised":[281],"residuals":[284],"measure":[288],"instead.":[289],"We":[290],"discuss":[292],"properties":[294],"improved":[297],"particle":[307],"filter":[308],"WiFi":[310],"system.":[312]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
