{"id":"https://openalex.org/W2074676236","doi":"https://doi.org/10.4304/jnw.9.7.1955-1961","title":"Multiple-sensor Fusion Tracking Based on Square-root Cubature Kalman Filtering","display_name":"Multiple-sensor Fusion Tracking Based on Square-root Cubature Kalman Filtering","publication_year":2014,"publication_date":"2014-07-03","ids":{"openalex":"https://openalex.org/W2074676236","doi":"https://doi.org/10.4304/jnw.9.7.1955-1961","mag":"2074676236"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.9.7.1955-1961","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.9.7.1955-1961","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"},"type":"article","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/A5014528997","display_name":"Yanli Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yanli Hou","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014528997"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74583086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"7","first_page":null,"last_page":null},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9664000272750854,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9211000204086304,"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/computer-science","display_name":"Computer science","score":0.8836110830307007},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.796666145324707},{"id":"https://openalex.org/keywords/square-root","display_name":"Square root","score":0.7012549638748169},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5716535449028015},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5148862600326538},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5076788663864136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.341783732175827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3383360505104065},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33650052547454834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10883954167366028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8836110830307007},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.796666145324707},{"id":"https://openalex.org/C11577676","wikidata":"https://www.wikidata.org/wiki/Q134237","display_name":"Square root","level":2,"score":0.7012549638748169},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5716535449028015},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5148862600326538},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5076788663864136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341783732175827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3383360505104065},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33650052547454834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10883954167366028},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.9.7.1955-1961","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.9.7.1955-1961","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1966184693","https://openalex.org/W1994604027","https://openalex.org/W2030525099","https://openalex.org/W2038420319","https://openalex.org/W2044206947","https://openalex.org/W2054091988","https://openalex.org/W2092595964","https://openalex.org/W2105532434","https://openalex.org/W2106468473","https://openalex.org/W2116881178","https://openalex.org/W2123487311","https://openalex.org/W2138896396","https://openalex.org/W2141095746","https://openalex.org/W2157881560","https://openalex.org/W2158777217","https://openalex.org/W2360239783","https://openalex.org/W2372686006","https://openalex.org/W2375794631","https://openalex.org/W2378737678"],"related_works":["https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W2132659060","https://openalex.org/W2288640460","https://openalex.org/W2078821596","https://openalex.org/W1983380679","https://openalex.org/W2036320993","https://openalex.org/W1981649169"],"abstract_inverted_index":{"Nonlinear":[0],"state":[1],"estimation":[2,88],"and":[3,26,58,63,75,87,104,155,185],"fusion":[4,17,20,32,120,129,149,158],"tracking":[5,21,121,130,150,159],"are":[6,39,161,169],"always":[7],"hot":[8],"research":[9],"topics":[10],"for":[11,100,105],"information":[12],"processing.":[13],"Compared":[14],"to":[15],"linear":[16],"tracking,":[18,33],"nonlinear":[19,37,44,92,107],"takes":[22],"many":[23],"new":[24],"problems":[25],"challenges.":[27],"Especially,":[28],"the":[29,64,95,116,134,147,156,175],"performances":[30,181],"of":[31,81,84,119,140,182],"based":[34,132],"on":[35,115,133],"different":[36],"filters,":[38],"obviously":[40],"different.":[41],"The":[42],"conventional":[43],"\ufb01lters":[45],"include":[46],"extended":[47],"Kalman":[48,52,60,68],"\ufb01lter":[49],"(EKF),":[50],"unscented":[51],"filter":[53,56,61,69],"(UKF),":[54],"particle":[55],"(PF)":[57],"cubature":[59,67],"(CKF),":[62],"recent":[65],"square-root":[66],"(SCKF)":[70],"has":[71],"been":[72],"paid":[73],"more":[74,76],"attention":[77],"by":[78],"researchers":[79],"because":[80],"its":[82],"advantages":[83],"computation":[85],"complexity":[86],"accuracy":[89],"over":[90],"other":[91],"filters.":[93],"However,":[94],"SCKF":[96,142,177],"is":[97,111,144],"mainly":[98],"designed":[99],"single":[101],"sensor":[102],"system,":[103,109],"present":[106],"multi-sensor":[108,128],"it":[110],"not":[112],"applicable.":[113],"Based":[114],"current":[117],"results":[118,172],"algorithms,":[122],"this":[123],"paper":[124],"provides":[125],"a":[126,137],"novel":[127],"algorithm":[131,143],"SCKF.":[135],"Firstly,":[136],"brief":[138],"introduction":[139],"basic":[141],"given.":[145],"Then,":[146],"centralized":[148,176],"frame":[151,160],"with":[152],"augmented":[153],"measurements":[154],"sequential":[157],"presented":[162],"respectively.":[163],"Finally,":[164],"two":[165],"computer":[166],"simulation":[167],"examples":[168],"demonstrated.":[170],"Simulations":[171],"show":[173],"that":[174],"can":[178],"obtain":[179],"better":[180],"accuracy,":[183],"stability":[184],"convergence.":[186]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
