{"id":"https://openalex.org/W2071645528","doi":"https://doi.org/10.1109/tcyb.2013.2276749","title":"A Reduced-Complexity Data-Fusion Algorithm Using Belief Propagation for Location Tracking in Heterogeneous Observations","display_name":"A Reduced-Complexity Data-Fusion Algorithm Using Belief Propagation for Location Tracking in Heterogeneous Observations","publication_year":2014,"publication_date":"2014-05-13","ids":{"openalex":"https://openalex.org/W2071645528","doi":"https://doi.org/10.1109/tcyb.2013.2276749","mag":"2071645528","pmid":"https://pubmed.ncbi.nlm.nih.gov/24013831"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2276749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2276749","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5064109265","display_name":"Yih\u2010Shyh Chiou","orcid":"https://orcid.org/0000-0003-4966-2999"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yih-Shyh Chiou","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","Department of Electronic Engineering , Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Department of Electronic Engineering , Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002715768","display_name":"Fuan Tsai","orcid":"https://orcid.org/0000-0001-8273-083X"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fuan Tsai","raw_affiliation_strings":["Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan","Center for Space and Remote Sensing Research National Central University Taoyuan Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Center for Space and Remote Sensing Research National Central University Taoyuan Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.2837,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95426707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"44","issue":"6","first_page":"922","last_page":"935"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421920299530029},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6949841976165771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6547013521194458},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6253800392150879},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6201371550559998},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6019505262374878},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5555981993675232},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.554844319820404},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5528631806373596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28568655252456665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421920299530029},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6949841976165771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6547013521194458},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6253800392150879},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6201371550559998},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6019505262374878},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5555981993675232},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.554844319820404},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5528631806373596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28568655252456665},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2013.2276749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2276749","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:24013831","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24013831","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2646853","https://openalex.org/W44485467","https://openalex.org/W1547669723","https://openalex.org/W1602659231","https://openalex.org/W1976297078","https://openalex.org/W2006350536","https://openalex.org/W2016745278","https://openalex.org/W2018779833","https://openalex.org/W2026332415","https://openalex.org/W2029422109","https://openalex.org/W2033299989","https://openalex.org/W2038362850","https://openalex.org/W2038482286","https://openalex.org/W2052963087","https://openalex.org/W2055936398","https://openalex.org/W2056870323","https://openalex.org/W2057072851","https://openalex.org/W2078493525","https://openalex.org/W2096524691","https://openalex.org/W2098499401","https://openalex.org/W2100595099","https://openalex.org/W2102619686","https://openalex.org/W2123742333","https://openalex.org/W2124945426","https://openalex.org/W2125093642","https://openalex.org/W2125829905","https://openalex.org/W2126346858","https://openalex.org/W2127348139","https://openalex.org/W2130945928","https://openalex.org/W2137813581","https://openalex.org/W2142612029","https://openalex.org/W2155971774","https://openalex.org/W2158643928","https://openalex.org/W2159225174","https://openalex.org/W2165830528","https://openalex.org/W2166121369","https://openalex.org/W2404214748","https://openalex.org/W2534724826","https://openalex.org/W2539907347","https://openalex.org/W2561257242","https://openalex.org/W2594639291"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W1983380679","https://openalex.org/W1981649169","https://openalex.org/W2357354286","https://openalex.org/W2388705266","https://openalex.org/W2991551317"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,53],"low-complexity":[4],"and":[5,36,93,117],"high-accuracy":[6],"algorithm":[7,17],"to":[8,97,142],"reduce":[9],"the":[10,14,25,29,40,46,69,81,90,94,99,104,107,114,145],"computational":[11,156],"load":[12],"of":[13,32,74,106,144],"traditional":[15,146],"data-fusion":[16,100,149],"with":[18,28,68,83,127],"heterogeneous":[19],"observations":[20],"for":[21,102,131],"location":[22,58,105,140],"tracking.":[23],"For":[24],"location-estimation":[26],"technique":[27],"data":[30,132],"fusion":[31,133],"radio-based":[33],"ranging":[34,126],"measurement":[35],"speed-based":[37],"sensing":[38,129],"measurement,":[39],"proposed":[41,115],"tracking":[42,59,103,121],"scheme,":[43],"based":[44],"on":[45],"Bayesian":[47],"filtering":[48,148],"concept,":[49],"is":[50,61],"handled":[51],"by":[52],"state":[54],"space":[55],"model.":[56],"The":[57],"problem":[60],"divided":[62],"into":[63],"many":[64],"mutual-interaction":[65],"local":[66],"constraints":[67],"inherent":[70],"message-":[71],"passing":[72],"features":[73],"factor":[75],"graphs.":[76],"During":[77],"each":[78],"iteration":[79],"cycle,":[80],"messages":[82],"reliable":[84],"information":[85],"are":[86],"passed":[87],"efficiently":[88],"between":[89],"prediction":[91],"phase":[92,96],"correction":[95],"simplify":[98],"implementation":[101],"mobile":[108],"terminal.":[109],"Numerical":[110],"simulations":[111],"show":[112],"that":[113,123,143],"forward":[116],"one-step":[118],"backward":[119],"refining":[120],"approach":[122],"combines":[124],"radio":[125],"speed":[128],"measurements":[130],"not":[134],"only":[135],"can":[136],"achieve":[137],"an":[138],"accurate":[139],"close":[141],"Kalman":[147],"algorithm,":[150],"but":[151],"also":[152],"has":[153],"much":[154],"lower":[155],"complexity.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
