{"id":"https://openalex.org/W2473448826","doi":"https://doi.org/10.1109/vtcspring.2016.7504253","title":"Fundamental Bounds on Position Estimation Using Proximity Reports","display_name":"Fundamental Bounds on Position Estimation Using Proximity Reports","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2473448826","doi":"https://doi.org/10.1109/vtcspring.2016.7504253","mag":"2473448826"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2016.7504253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129760","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696174","display_name":"Feng Yin","orcid":"https://orcid.org/0000-0001-5754-9246"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Feng Yin","raw_affiliation_strings":["Ericsson Research, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057246186","display_name":"Yuxin Zhao","orcid":"https://orcid.org/0000-0003-1214-2391"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuxin Zhao","raw_affiliation_strings":["Ericsson Research, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017357798","display_name":"Fredrik Gunnarsson","orcid":"https://orcid.org/0000-0001-6387-3472"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik Gunnarsson","raw_affiliation_strings":["Ericsson Research, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100696174"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.9334,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78007538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9884999990463257,"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/estimator","display_name":"Estimator","score":0.8350471258163452},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.7740976214408875},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.7522537708282471},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.7430903911590576},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5221552848815918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5109947919845581},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4878823757171631},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4848004877567291},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4667314291000366},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4555988013744354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43479806184768677},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.429410457611084},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.42569848895072937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.386410653591156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3760031461715698},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3272627592086792},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32687002420425415},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14281964302062988}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8350471258163452},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.7740976214408875},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.7522537708282471},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.7430903911590576},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5221552848815918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5109947919845581},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4878823757171631},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4848004877567291},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4667314291000366},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4555988013744354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43479806184768677},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.429410457611084},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.42569848895072937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.386410653591156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3760031461715698},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3272627592086792},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32687002420425415},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14281964302062988},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcspring.2016.7504253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:liu-129760","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129760","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-129760","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129760","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1496986211","https://openalex.org/W1587205449","https://openalex.org/W1979332249","https://openalex.org/W1991162661","https://openalex.org/W2094204865","https://openalex.org/W2094775216","https://openalex.org/W2096317870","https://openalex.org/W2096389144","https://openalex.org/W2100796177","https://openalex.org/W2101067857","https://openalex.org/W2116245391","https://openalex.org/W2117971990","https://openalex.org/W2119362555","https://openalex.org/W2138977899","https://openalex.org/W2142017648","https://openalex.org/W2152286118","https://openalex.org/W2152516833","https://openalex.org/W4237334824","https://openalex.org/W4243408391","https://openalex.org/W6634992762","https://openalex.org/W6645066665"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2103714007"],"abstract_inverted_index":{"There":[0],"is":[1,77],"a":[2,68],"big":[3],"trend":[4],"nowadays":[5],"toward":[6],"indoor":[7],"proximity":[8,15,58,99],"report":[9,16,59,100],"based":[10,60,101],"positioning.":[11],"A":[12],"binary":[13],"valued":[14],"can":[17],"be":[18,93],"obtained":[19],"opportunistically":[20],"through":[21],"event-triggering,":[22],"leading":[23],"to":[24,37],"significantly":[25],"reduced":[26],"signaling":[27],"overhead":[28],"for":[29,96],"wireless":[30],"communications.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,71],"aim":[36],"derive":[38],"two":[39],"types":[40],"of":[41,56],"fundamental":[42],"lower":[43],"bound,":[44,52],"namely":[45],"the":[46,50,54,64,74,82,89],"Cram'er-Rao":[47],"bound":[48,76,85,91],"and":[49,86],"Barankin":[51,75,90],"on":[53],"mean-square-error":[55],"any":[57,98],"position":[61,102],"estimator.":[62,103],"Using":[63],"maximum-likelihood":[65],"estimator":[66],"as":[67],"representative":[69],"example,":[70],"show":[72],"that":[73,88],"potentially":[78],"much":[79],"tighter":[80],"than":[81],"Cram":[83],"'er-Rao":[84],"conclude":[87],"ought":[92],"better":[94],"suited":[95],"benchmarking":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
