{"id":"https://openalex.org/W2417382215","doi":"https://doi.org/10.1109/plans.2016.7479723","title":"Navigation using VLF environmental features","display_name":"Navigation using VLF environmental features","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2417382215","doi":"https://doi.org/10.1109/plans.2016.7479723","mag":"2417382215"},"language":"en","primary_location":{"id":"doi:10.1109/plans.2016.7479723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/plans.2016.7479723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1278832","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014968315","display_name":"Joseph Curro","orcid":"https://orcid.org/0000-0002-3847-5103"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joseph Curro","raw_affiliation_strings":["Air Force Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043800932","display_name":"John Raquet","orcid":"https://orcid.org/0000-0001-5474-5946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Raquet","raw_affiliation_strings":["Air Force Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014968315"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.04306557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"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":0.9984999895095825,"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":0.965499997138977,"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/T10860","display_name":"Speech and Audio Processing","score":0.9616000056266785,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5813404321670532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5750884413719177},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5544393658638},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5416795015335083},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5382357239723206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5360615253448486},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5332211256027222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4596867263317108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45141318440437317},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43126487731933594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3259539306163788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2082889974117279},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08488523960113525}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5813404321670532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5750884413719177},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5544393658638},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5416795015335083},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5382357239723206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5360615253448486},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5332211256027222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4596867263317108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45141318440437317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43126487731933594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3259539306163788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2082889974117279},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08488523960113525},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/plans.2016.7479723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/plans.2016.7479723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1278832","is_oa":true,"landing_page_url":"https://zenodo.org/record/1278832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1278832","is_oa":true,"landing_page_url":"https://zenodo.org/record/1278832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1606347560","https://openalex.org/W2006207603","https://openalex.org/W2036181918","https://openalex.org/W2152175008","https://openalex.org/W2166221222","https://openalex.org/W2169724204","https://openalex.org/W2171819552","https://openalex.org/W2594481151","https://openalex.org/W2914484425","https://openalex.org/W4238404964"],"related_works":["https://openalex.org/W2385118824","https://openalex.org/W1185300216","https://openalex.org/W3147584709","https://openalex.org/W2359476137","https://openalex.org/W2362165903","https://openalex.org/W2391251536","https://openalex.org/W2575294667","https://openalex.org/W2378962668","https://openalex.org/W2977677679","https://openalex.org/W2358868262"],"abstract_inverted_index":{"This":[0,99],"paper":[1],"examines":[2],"the":[3,20,23,30,71,87,93,96],"use":[4],"of":[5,19,22,41,78,83,107],"Very":[6],"Low":[7],"Frequency":[8],"(VLF)":[9],"electromagnetic":[10],"signals":[11,45],"to":[12,74,80],"perform":[13],"location":[14,89],"estimation":[15],"with-out":[16],"any":[17],"knowledge":[18],"source":[21],"VLF":[24],"signal":[25],"or":[26],"their":[27],"interaction":[28],"with":[29,86,95],"environment.":[31],"Signals":[32],"were":[33],"collected":[34],"from":[35],"different":[36],"locations":[37,85,113],"in":[38],"a":[39,76],"variety":[40],"indoor":[42],"environments.":[43],"The":[44],"are":[46,66],"divided":[47],"into":[48,55],"equal":[49],"time":[50],"length":[51],"segments":[52],"and":[53,61],"processed":[54],"feature":[56],"sets.":[57],"A":[58],"logistic":[59],"regression":[60],"an":[62,105],"Artificial":[63],"Neural":[64],"Network":[65],"then":[67],"both":[68],"trained":[69],"on":[70],"sample":[72],"statistics":[73],"give":[75],"set":[77],"parameters":[79],"return":[81],"likelihood":[82],"each":[84],"correct":[88],"being":[90],"determined":[91],"as":[92],"position":[94],"highest":[97],"likelihood.":[98],"approach":[100],"using":[101],"either":[102],"method":[103],"achieved":[104],"error":[106],"less":[108],"than":[109],"1%":[110],"for":[111,115],"17":[112],"recorded":[114],"10":[116],"minutes":[117],"each.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
