{"id":"https://openalex.org/W2807346250","doi":"https://doi.org/10.1109/tsp.2018.2889987","title":"Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes","display_name":"Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2807346250","doi":"https://doi.org/10.1109/tsp.2018.2889987","mag":"2807346250"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2018.2889987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2889987","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/1806.02530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012740152","display_name":"Irene Santos","orcid":"https://orcid.org/0000-0002-7481-3720"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Irene Santos","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Seville, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Seville, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036960709","display_name":"Juan Jos\u00e9 Murillo-Fuentes","orcid":"https://orcid.org/0000-0002-9041-0147"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Jose Murillo-Fuentes","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Seville, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Seville, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012740152"],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":1.0853,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77268094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"67","issue":"5","first_page":"1152","last_page":"1162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5958168506622314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5762465000152588},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5712371468544006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453069806098938},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4936014413833618},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.45650798082351685},{"id":"https://openalex.org/keywords/gaussian-random-field","display_name":"Gaussian random field","score":0.4216385781764984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41741201281547546},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.37179815769195557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.271062433719635}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5958168506622314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5762465000152588},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5712371468544006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453069806098938},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4936014413833618},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.45650798082351685},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.4216385781764984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41741201281547546},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.37179815769195557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.271062433719635},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2018.2889987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2889987","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:1806.02530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.02530","pdf_url":"https://arxiv.org/pdf/1806.02530","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.02530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.02530","pdf_url":"https://arxiv.org/pdf/1806.02530","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":[{"id":"https://openalex.org/G1755680943","display_name":null,"funder_award_id":"1642965","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1430082438","https://openalex.org/W1494853941","https://openalex.org/W1506806321","https://openalex.org/W1537451712","https://openalex.org/W1585269927","https://openalex.org/W1746819321","https://openalex.org/W1790231888","https://openalex.org/W1953926994","https://openalex.org/W1989992903","https://openalex.org/W1999221939","https://openalex.org/W2063817599","https://openalex.org/W2068115374","https://openalex.org/W2103754175","https://openalex.org/W2105738738","https://openalex.org/W2114351513","https://openalex.org/W2121981033","https://openalex.org/W2122735016","https://openalex.org/W2134041135","https://openalex.org/W2157011354","https://openalex.org/W2159897021","https://openalex.org/W2166724350","https://openalex.org/W2168439596","https://openalex.org/W2187691105","https://openalex.org/W2257211562","https://openalex.org/W2289104696","https://openalex.org/W2414995726","https://openalex.org/W2422042154","https://openalex.org/W2479390720","https://openalex.org/W2507037612","https://openalex.org/W2516943463","https://openalex.org/W2565753657","https://openalex.org/W2571354018","https://openalex.org/W2587657017","https://openalex.org/W2588513208","https://openalex.org/W2735883025","https://openalex.org/W2765175382","https://openalex.org/W2791430318","https://openalex.org/W2794140376","https://openalex.org/W2962862359","https://openalex.org/W3099646280","https://openalex.org/W3147654892","https://openalex.org/W4211049957","https://openalex.org/W4246841922","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2147201983","https://openalex.org/W2015518264","https://openalex.org/W2795035211","https://openalex.org/W2160108762","https://openalex.org/W1718066205","https://openalex.org/W2017034551","https://openalex.org/W2054439726","https://openalex.org/W4389109202"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,190],"address":[4],"the":[5,36,41,55,61,64,80,97,112,115,120,129,155,159,166,171,174,181,186,192],"estimation":[6],"of":[7,12,63,77,99,111,119,158,173,185,194],"a":[8,31,92,139],"time-varying":[9,135],"spatial":[10,103,160],"field":[11],"received":[13],"signal":[14],"strength":[15],"(RSS)":[16],"by":[17,53,107,138,169],"relying":[18],"on":[19,149,200],"measurements":[20],"from":[21,128],"randomly":[22],"placed":[23],"and":[24,40,125,143,152,202],"not":[25],"very":[26],"accurate":[27],"sensors.":[28],"We":[29,59,131,178],"employ":[30],"radio":[32],"propagation":[33,83],"model":[34,84],"where":[35,96],"path":[37],"loss":[38],"exponent":[39],"transmitted":[42],"power":[43],"are":[44,51],"unknown":[45,124],"with":[46,197],"Gaussian":[47,94,150],"priors":[48],"whose":[49],"hyper-parameters":[50],"estimated":[52,127,187],"applying":[54],"empirical":[56],"Bayes":[57],"method.":[58],"consider":[60],"locations":[62],"sensors":[65],"to":[66,90,133],"be":[67,91],"imperfectly":[68],"known,":[69],"which":[70,87],"entails":[71],"that":[72],"they":[73],"represent":[74],"another":[75],"source":[76],"error":[78],"in":[79],"model.":[81],"The":[82,117,145],"includes":[85],"shadowing,":[86],"is":[88,105,122,126,147],"considered":[89],"zero-mean":[93],"process":[95],"correlation":[98],"attenuation":[100],"between":[101,114],"two":[102],"points":[104],"quantified":[106],"an":[108],"exponential":[109],"function":[110],"distance":[113],"points.":[116],"location":[118],"transmitter":[121],"also":[123,179],"data.":[130],"propose":[132],"estimate":[134],"RSS":[136],"fields":[137],"recursive":[140],"Bayesian":[141,182],"method":[142,146,196],"crowdsourcing.":[144],"based":[148],"processes,":[151],"it":[153,163],"produces":[154],"joint":[156],"distribution":[157],"field.":[161],"Further,":[162],"summarizes":[164],"all":[165],"acquired":[167],"information":[168],"keeping":[170],"size":[172],"needed":[175],"memory":[176],"bounded.":[177],"present":[180],"Cram\u00e9r-Rao":[183],"bound":[184],"parameters.":[188],"Finally,":[189],"illustrate":[191],"performance":[193],"our":[195],"experimental":[198],"results":[199],"synthetic":[201],"real":[203],"data":[204],"sets.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}