{"id":"https://openalex.org/W2978563872","doi":"https://doi.org/10.1109/tsp.2020.2999204","title":"Exploring Positive Noise in Estimation Theory","display_name":"Exploring Positive Noise in Estimation Theory","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2978563872","doi":"https://doi.org/10.1109/tsp.2020.2999204","mag":"2978563872"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.2999204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2999204","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.01569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047168561","display_name":"Kamiar Radnosrati","orcid":"https://orcid.org/0000-0001-9913-3652"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Kamiar Radnosrati","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001137240","display_name":"Gustaf Hendeby","orcid":"https://orcid.org/0000-0002-1971-4295"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustaf Hendeby","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058002446","display_name":"Fredrik Gustafsson","orcid":"https://orcid.org/0000-0003-3270-171X"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik Gustafsson","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047168561"],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":17.2986,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98404277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"68","issue":null,"first_page":"3590","last_page":"3602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9991000294685364,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983000159263611,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6957748532295227},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.58843994140625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5612082481384277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5402481555938721},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5352901220321655},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.5233209133148193},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.48476332426071167},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.4801887273788452},{"id":"https://openalex.org/keywords/best-linear-unbiased-prediction","display_name":"Best linear unbiased prediction","score":0.41926339268684387},{"id":"https://openalex.org/keywords/efficient-estimator","display_name":"Efficient estimator","score":0.4147678315639496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3762463927268982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33611804246902466},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.20095151662826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10989606380462646},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08155673742294312}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6957748532295227},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.58843994140625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5612082481384277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5402481555938721},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5352901220321655},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5233209133148193},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.48476332426071167},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.4801887273788452},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.41926339268684387},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.4147678315639496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3762463927268982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33611804246902466},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.20095151662826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10989606380462646},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08155673742294312},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2020.2999204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2999204","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1910.01569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.01569","pdf_url":"https://arxiv.org/pdf/1910.01569","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:DiVA.org:liu-167091","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167091","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":"Article in journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.01569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.01569","pdf_url":"https://arxiv.org/pdf/1910.01569","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W62719046","https://openalex.org/W149129625","https://openalex.org/W250076511","https://openalex.org/W323911834","https://openalex.org/W1536252645","https://openalex.org/W1539108451","https://openalex.org/W1543388142","https://openalex.org/W1601409075","https://openalex.org/W1965392255","https://openalex.org/W1972080188","https://openalex.org/W1976867558","https://openalex.org/W1983913844","https://openalex.org/W1994813019","https://openalex.org/W1997872268","https://openalex.org/W1999177119","https://openalex.org/W2008979111","https://openalex.org/W2010016312","https://openalex.org/W2019492706","https://openalex.org/W2020982021","https://openalex.org/W2024045435","https://openalex.org/W2045021643","https://openalex.org/W2052777907","https://openalex.org/W2062284327","https://openalex.org/W2071576005","https://openalex.org/W2084840427","https://openalex.org/W2085069379","https://openalex.org/W2088484188","https://openalex.org/W2095705027","https://openalex.org/W2100123768","https://openalex.org/W2105532434","https://openalex.org/W2112717751","https://openalex.org/W2115485558","https://openalex.org/W2122690814","https://openalex.org/W2122759946","https://openalex.org/W2124975692","https://openalex.org/W2130053309","https://openalex.org/W2131965580","https://openalex.org/W2135401627","https://openalex.org/W2137130182","https://openalex.org/W2141266663","https://openalex.org/W2146027721","https://openalex.org/W2149310890","https://openalex.org/W2150371009","https://openalex.org/W2150470808","https://openalex.org/W2160337655","https://openalex.org/W2160747081","https://openalex.org/W2162184158","https://openalex.org/W2166121369","https://openalex.org/W2166626012","https://openalex.org/W2169967930","https://openalex.org/W2333131589","https://openalex.org/W2514698247","https://openalex.org/W2586649461","https://openalex.org/W2751596342","https://openalex.org/W2978563872","https://openalex.org/W4238608674","https://openalex.org/W4251502187","https://openalex.org/W6632369946","https://openalex.org/W6632547301","https://openalex.org/W6678372795","https://openalex.org/W6678699189","https://openalex.org/W6683535230","https://openalex.org/W6724818412","https://openalex.org/W6768688670"],"related_works":["https://openalex.org/W2349547417","https://openalex.org/W2910434125","https://openalex.org/W3092888124","https://openalex.org/W2356451205","https://openalex.org/W2035998077","https://openalex.org/W4239491110","https://openalex.org/W1984619412","https://openalex.org/W2093865141","https://openalex.org/W1972082064","https://openalex.org/W2488580388"],"abstract_inverted_index":{"Estimation":[0],"of":[1,4,29,47,57,79,82,103,145,210],"the":[2,21,36,80,83,88,101,105,143,179,208,211],"mean":[3],"a":[5,44],"stochastic":[6],"variable":[7],"observed":[8],"in":[9,99],"noise":[10,85,110,136,149],"with":[11,51,75,108,137,170],"positive":[12,52,138],"support":[13],"is":[14,17,158,174],"considered.":[15],"It":[16],"well":[18],"known":[19],"from":[20,111],"literature":[22],"that":[23],"order":[24,28,65,154],"statistics":[25],"gives":[26],"one":[27],"magnitude":[30],"lower":[31],"estimation":[32,192,203],"variance":[33,59],"compared":[34],"to":[35,134,206],"best":[37],"linear":[38],"unbiased":[39,60,156],"estimator":[40,157],"(BLUE).":[41],"We":[42],"provide":[43,55],"systematic":[45],"survey":[46],"some":[48],"common":[49],"distributions":[50],"support,":[53,139],"and":[54,91,117,127,147,193,201],"derivations":[56],"minimum":[58],"estimators":[61,72,181],"(MVUE)":[62],"based":[63],"on":[64,178],"statistics,":[66],"including":[67],"BLUE":[68,126],"for":[69,125,129,151,182,189,197],"comparison.":[70],"The":[71],"are":[73,97,204],"derived":[74,180],"or":[76],"without":[77],"knowledge":[78],"hyperparameters":[81],"underlying":[84],"distribution.":[86],"Though":[87],"uniform,":[89],"exponential":[90],"Rayleigh":[92],"distributions,":[93],"respectively,":[94],"we":[95,118,140],"consider":[96,142],"standard":[98],"literature,":[100],"problem":[102],"estimating":[104],"location":[106],"parameter":[107],"additive":[109,135],"these":[112,130],"distribution":[113,150],"seems":[114],"less":[115],"studied,":[116],"have":[119],"not":[120],"found":[121],"any":[122],"explicit":[123],"expressions":[124],"MVUE":[128],"cases.":[131],"In":[132],"addition":[133],"also":[141],"mixture":[144],"uniform":[146],"normal":[148],"which":[152,176],"an":[153,161],"statistics-based":[155],"derived.":[159],"Finally,":[160],"iterative":[162],"global":[163],"navigation":[164],"satellite":[165],"system":[166],"(GNSS)":[167],"localization":[168],"algorithm":[169],"uncertain":[171],"pseudorange":[172],"measurements":[173],"proposed":[175,212],"relies":[177],"receiver":[183],"clock":[184,199],"bias":[185,200],"estimation.":[186],"Simulation":[187],"data":[188,196],"GNSS":[190,195],"time":[191],"experimental":[194],"joint":[198],"position":[202],"used":[205],"evaluate":[207],"performance":[209],"methods.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}