{"id":"https://openalex.org/W2743813585","doi":"https://doi.org/10.23919/icif.2017.8009640","title":"Parametric lower bound for nonlinear filtering based on Gaussian process regression model","display_name":"Parametric lower bound for nonlinear filtering based on Gaussian process regression model","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2743813585","doi":"https://doi.org/10.23919/icif.2017.8009640","mag":"2743813585"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009640","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057246186","display_name":"Yuxin Zhao","orcid":"https://orcid.org/0000-0003-1214-2391"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yuxin Zhao","raw_affiliation_strings":["Ericsson Research, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000005967","display_name":"Carsten Fritsche","orcid":null},"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":"Carsten Fritsche","raw_affiliation_strings":["Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017357798","display_name":"Fredrik Gunnarsson","orcid":"https://orcid.org/0000-0001-6387-3472"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik Gunnarsson","raw_affiliation_strings":["Ericsson Research, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057246186"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70208293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9979000091552734,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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/parametric-statistics","display_name":"Parametric statistics","score":0.6661551594734192},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5830368995666504},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46960127353668213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4536151885986328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41987118124961853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41516536474227905},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40493160486221313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30157673358917236},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0788915753364563}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6661551594734192},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5830368995666504},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46960127353668213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4536151885986328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41987118124961853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41516536474227905},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40493160486221313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30157673358917236},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0788915753364563},{"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:10.23919/icif.2017.8009640","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:liu-140531","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140531","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":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-140531","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140531","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":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1513008779","https://openalex.org/W1531532259","https://openalex.org/W1557510843","https://openalex.org/W2098613108","https://openalex.org/W2107386393","https://openalex.org/W2141585124","https://openalex.org/W2401564736","https://openalex.org/W2417850440","https://openalex.org/W4211049957","https://openalex.org/W6633445896","https://openalex.org/W6675823452"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W2396122647","https://openalex.org/W2136161268","https://openalex.org/W2406961220","https://openalex.org/W3165943254","https://openalex.org/W3143668791","https://openalex.org/W2289718384","https://openalex.org/W2538333368","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Assessing":[0],"the":[1,13,43,50,104,109,116,126],"fundamental":[2],"performance":[3,106],"limitations":[4],"in":[5,65,120],"Bayesian":[6],"filtering":[7],"can":[8],"be":[9],"carried":[10],"out":[11],"using":[12],"parametric":[14,19,44,92,127],"Cram\u00e9r-Rao":[15],"bound":[16,24],"(CRB).":[17],"The":[18,90,112],"CRB":[20,45,93],"puts":[21],"a":[22,33,56],"lower":[23],"on":[25,32,96],"mean":[26],"square":[27],"error":[28],"(MSE)":[29],"matrix":[30],"conditioned":[31],"specific":[34],"state":[35,98],"trajectory":[36],"realization.":[37],"In":[38],"this":[39,121],"work,":[40],"we":[41],"derive":[42],"for":[46,63],"state-space":[47],"models,":[48],"where":[49,69],"measurement":[51],"equation":[52],"is":[53,94,123],"modeled":[54,85],"by":[55,74,108],"Gaussian":[57,87],"process":[58,88],"regression.":[59,89],"These":[60],"models":[61],"appear,":[62],"instance":[64],"proximity":[66,70],"report-based":[67],"positioning,":[68],"reports":[71],"are":[72,84],"obtained":[73,107],"hard":[75],"thresholding":[76],"of":[77],"received":[78],"signal":[79],"strength":[80],"(RSS)":[81],"measurements,":[82],"that":[83,115],"through":[86],"proposed":[91],"evaluated":[95],"selected":[97],"trajectories":[99],"and":[100],"further":[101],"compared":[102],"with":[103],"positioning":[105,117],"particle":[110],"filter.":[111],"results":[113],"corroborate":[114],"accuracy":[118],"achieved":[119],"framework":[122],"close":[124],"to":[125],"CRB.":[128]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
