{"id":"https://openalex.org/W7161766314","doi":"https://doi.org/10.48550/arxiv.2605.19406","title":"Measurement Selection Strategies for Position Estimation in Indoor Environments","display_name":"Measurement Selection Strategies for Position Estimation in Indoor Environments","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161766314","doi":"https://doi.org/10.48550/arxiv.2605.19406"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.19406","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136590172","display_name":"Neetu R. R","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R, Neetu R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049767609","display_name":"Shrihari Vasudevan","orcid":"https://orcid.org/0000-0001-6799-7587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasudevan, Shrihari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027357776","display_name":"Ranjani H.G.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G, Ranjani H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9883000254631042,"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":0.9883000254631042,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.002300000051036477,"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/T10655","display_name":"GNSS positioning and interference","score":0.0012000000569969416,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6736999750137329},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6444000005722046},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6312000155448914},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.5595999956130981},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.4690000116825104},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4277999997138977},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.3628000020980835}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6736999750137329},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6444000005722046},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6312000155448914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892999768257141},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.5595999956130981},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5023000240325928},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33059999346733093},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3287999927997589},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.29499998688697815},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26489999890327454},{"id":"https://openalex.org/C93103318","wikidata":"https://www.wikidata.org/wiki/Q980965","display_name":"Real Time Kinematic","level":4,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7776379585266113,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Time-based":[0],"indoor":[1,22],"positioning":[2],"techniques":[3],"rely":[4],"on":[5],"multiple":[6],"access":[7],"points":[8],"(APs)":[9],"and":[10,17,65,76,91,98],"measurements":[11,94],"between":[12],"the":[13,18,62,104,107],"user":[14],"equipment":[15],"(UE)":[16],"APs.":[19],"In":[20],"dense":[21],"environments,":[23],"occlusion-induced":[24],"non-line-of-sight":[25],"(NLoS)":[26],"propagation":[27,63],"introduces":[28],"significant":[29,115],"delays":[30],"in":[31,112],"these":[32],"measurements,":[33],"thereby":[34],"degrading":[35],"position":[36,51],"estimation":[37,52],"accuracy.":[38,53],"To":[39],"address":[40],"this":[41,43],"challenge,":[42],"paper":[44],"proposes":[45],"measurement":[46,79,100,109],"selection":[47,80,110],"strategies":[48,111],"to":[49,60,74],"improve":[50],"A":[54],"ray-tracing":[55],"(RT)":[56],"simulator":[57],"is":[58,71],"employed":[59],"characterize":[61],"environment":[64],"derive":[66],"AP":[67,86,96],"neighborhood":[68],"information,":[69],"which":[70],"subsequently":[72],"used":[73],"design":[75],"evaluate":[77],"different":[78],"strategies.":[81],"The":[82],"approaches":[83],"explored":[84],"include":[85],"neighborhood-based":[87],"cardinality":[88],"selection,":[89],"intersection":[90],"union":[92],"of":[93,106],"from":[95],"neighborhoods,":[97],"fixed":[99],"selection.":[101],"Experiments":[102],"demonstrate":[103],"efficacy":[105],"proposed":[108],"environments":[113],"under":[114],"NLoS":[116],"conditions.":[117]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}
