{"id":"https://openalex.org/W2742858738","doi":"https://doi.org/10.23919/icif.2017.8009631","title":"Fast SCI fusion steady-state Kalman filters for multiple time-delayed systems with colored measurement noises","display_name":"Fast SCI fusion steady-state Kalman filters for multiple time-delayed systems with colored measurement noises","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2742858738","doi":"https://doi.org/10.23919/icif.2017.8009631","mag":"2742858738"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009631","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009631","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006640864","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-1066-5391"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384686","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-1305-5735"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043068688","display_name":"Tianmeng Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianmeng Shang","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045111873","display_name":"Chenjian Ran","orcid":"https://orcid.org/0000-0002-5219-3460"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjian Ran","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045032186","display_name":"Yinfeng Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfeng Dou","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062049152","display_name":"Yinlong Huo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinlong Huo","raw_affiliation_strings":["Harbin Environmental Monitoring Center Station, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Environmental Monitoring Center Station, Harbin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006640864"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09876387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.9171944260597229},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8372824192047119},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.8146626949310303},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.7628363370895386},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.7135261297225952},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.6956971287727356},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6671260595321655},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6111644506454468},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5216353535652161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46285098791122437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43999195098876953},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4223968982696533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4169125556945801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24466270208358765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19504383206367493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08367395401000977}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.9171944260597229},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8372824192047119},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.8146626949310303},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.7628363370895386},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.7135261297225952},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.6956971287727356},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6671260595321655},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6111644506454468},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5216353535652161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46285098791122437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43999195098876953},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4223968982696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4169125556945801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24466270208358765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19504383206367493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08367395401000977},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2017.8009631","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009631","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1518092903","https://openalex.org/W1560284198","https://openalex.org/W1984609538","https://openalex.org/W2020968226","https://openalex.org/W2023915291","https://openalex.org/W2085529135","https://openalex.org/W2104189692","https://openalex.org/W2124777797","https://openalex.org/W2142315243","https://openalex.org/W2146888614","https://openalex.org/W2148234182","https://openalex.org/W3144155284","https://openalex.org/W6630958305","https://openalex.org/W6633297107","https://openalex.org/W6671701239"],"related_works":["https://openalex.org/W3190919334","https://openalex.org/W2150837402","https://openalex.org/W2263628162","https://openalex.org/W4206024512","https://openalex.org/W4324121876","https://openalex.org/W4386026724","https://openalex.org/W2742858738","https://openalex.org/W4221126147","https://openalex.org/W2491009754","https://openalex.org/W2377206439"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,32,59,120],"concerned":[3],"with":[4,15,107],"the":[5,36,41,48,51,62,80,84,92,101,104,113,116],"fusion":[6,29,86],"estimation":[7],"problem":[8],"for":[9],"multi-sensor":[10],"discrete":[11],"time-invariant":[12],"linear":[13,42],"systems":[14],"multiple":[16],"time":[17],"delays":[18],"and":[19,98,115],"colored":[20],"measurement":[21],"noise.":[22],"A":[23],"fast":[24],"sequential":[25],"covariance":[26,53,102],"intersection":[27],"(SCI)":[28],"Kalman":[30,38,66,88,96,118],"filter":[31,39,67,89,119],"given":[33],"based":[34,99],"on":[35,100],"augmented":[37],"in":[40],"minimum":[43],"variance":[44],"sense,":[45],"which":[46],"avoids":[47],"calculation":[49],"of":[50,83,112],"cross":[52],"matrices":[54],"between":[55],"local":[56,73,114],"sensors.":[57],"It":[58],"proved":[60],"that":[61,79],"presented":[63],"fused":[64,94,117],"steady-state":[65,87],"has":[68],"higher":[69],"accuracy":[70,82,110],"than":[71],"those":[72],"filters.":[74],"The":[75],"simulation":[76],"result":[77],"reveals":[78],"actual":[81],"SCI":[85,93],"approximates":[90],"to":[91,109],"optimal":[95],"filter,":[97],"ellipse,":[103],"geometric":[105],"interpretation":[106],"respect":[108],"relation":[111],"shown.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}