{"id":"https://openalex.org/W2900942850","doi":"https://doi.org/10.1109/ipin.2018.8533871","title":"Accurate and Precise Distance Estimation from Phase-Based Ranging Data","display_name":"Accurate and Precise Distance Estimation from Phase-Based Ranging Data","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900942850","doi":"https://doi.org/10.1109/ipin.2018.8533871","mag":"2900942850"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2018.8533871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533871","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073867378","display_name":"Y Yvonne Schr\u00f6der","orcid":"https://orcid.org/0000-0003-3205-9034"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yannic Schroder","raw_affiliation_strings":["Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090369513","display_name":"Dennis Reimers","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dennis Reimers","raw_affiliation_strings":["Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070428847","display_name":"Lars Wolf","orcid":"https://orcid.org/0000-0001-9782-7765"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars Wolf","raw_affiliation_strings":["Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Operating Systems and Computer Networks, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":2.3379,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88993178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"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/T10655","display_name":"GNSS positioning and interference","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/ranging","display_name":"Ranging","score":0.7980960011482239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6593652963638306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565229892730713},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6074146032333374},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5688233375549316},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5332403182983398},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.531924843788147},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.486100435256958},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.42307111620903015},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4181874990463257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2822147309780121},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23265185952186584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16079846024513245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08027729392051697}],"concepts":[{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.7980960011482239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6593652963638306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565229892730713},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6074146032333374},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5688233375549316},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5332403182983398},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.531924843788147},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.486100435256958},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.42307111620903015},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4181874990463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2822147309780121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23265185952186584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16079846024513245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08027729392051697},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin.2018.8533871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533871","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1614580056","https://openalex.org/W1889783201","https://openalex.org/W2052628396","https://openalex.org/W2152575748","https://openalex.org/W2487857741","https://openalex.org/W2783608730","https://openalex.org/W2799132147"],"related_works":["https://openalex.org/W4311044804","https://openalex.org/W1925974205","https://openalex.org/W2390582858","https://openalex.org/W4328027586","https://openalex.org/W2160820560","https://openalex.org/W2900908366","https://openalex.org/W2372183706","https://openalex.org/W2386608811","https://openalex.org/W3135124435","https://openalex.org/W2368870878"],"abstract_inverted_index":{"Many":[0],"localization":[1],"approaches":[2],"need":[3],"distance":[4,21,35,57],"measurements":[5,61],"to":[6,18,94,107],"known":[7],"locations":[8],"as":[9],"input.":[10],"We":[11,45,103],"present":[12],"the":[13,20,34,47,89],"Complex-valued":[14],"Distance":[15],"Estimation":[16],"algorithm":[17,31,66],"compute":[19],"between":[22],"two":[23,51],"radio":[24],"transceivers":[25],"from":[26,36],"phase":[27,39],"measurements.":[28],"Our":[29,65],"proposed":[30],"reliably":[32],"computes":[33],"a":[37,73,80],"sampled":[38],"response":[40],"via":[41,111],"Fast":[42],"Fourier":[43],"Transform.":[44],"compare":[46],"new":[48],"approach":[49,106],"with":[50,72,97],"other":[52],"state-of-the-art":[53],"algorithms":[54,93],"by":[55],"evaluating":[56],"errors":[58,99],"of":[59,76,83,91],"real-world":[60],"in":[62,100],"different":[63],"scenarios.":[64],"achieves":[67],"high":[68],"accuracy":[69,115],"and":[70,79],"precision":[71],"mean":[74],"error":[75],"14.9":[77],"cm":[78],"standard":[81],"deviation":[82],"10.4":[84],"cm.":[85],"Further,":[86],"we":[87],"evaluate":[88],"ability":[90],"all":[92],"detect":[95],"outliers":[96],"large":[98],"their":[101],"results.":[102],"optimize":[104],"our":[105],"reduce":[108],"computation":[109],"complexity":[110],"interpolation":[112],"without":[113],"affecting":[114],"or":[116],"precision.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
