{"id":"https://openalex.org/W4390693655","doi":"https://doi.org/10.1109/iccais59597.2023.10382245","title":"Information Gain-weighted Multi-sensor Arithmetic Average Fusion Kalman Filtering","display_name":"Information Gain-weighted Multi-sensor Arithmetic Average Fusion Kalman Filtering","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4390693655","doi":"https://doi.org/10.1109/iccais59597.2023.10382245"},"language":"en","primary_location":{"id":"doi:10.1109/iccais59597.2023.10382245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais59597.2023.10382245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5100426998","display_name":"Hongfei Li","orcid":"https://orcid.org/0000-0001-9849-3971"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongfei Li","raw_affiliation_strings":["Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069239821","display_name":"Guchong Li","orcid":"https://orcid.org/0000-0002-9182-1968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guchong Li","raw_affiliation_strings":["Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728697","display_name":"Tiancheng Li","orcid":"https://orcid.org/0000-0002-0499-5135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiancheng Li","raw_affiliation_strings":["Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnic University,School of Automation,Xi&#x2019;an,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100426998"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67759736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"235"},"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":0.9932000041007996,"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":0.9932000041007996,"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/kalman-filter","display_name":"Kalman filter","score":0.8932722210884094},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7089075446128845},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5985093116760254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525000691413879},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5461968779563904},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.5380873680114746},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.5185309648513794},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5169553160667419},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5047124624252319},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4958828389644623},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.4548928141593933},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.45044341683387756},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.4376552104949951},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.4133543372154236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4080791175365448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3604949712753296},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35032305121421814}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8932722210884094},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7089075446128845},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5985093116760254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525000691413879},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5461968779563904},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.5380873680114746},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.5185309648513794},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5169553160667419},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5047124624252319},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4958828389644623},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.4548928141593933},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.45044341683387756},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4376552104949951},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.4133543372154236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4080791175365448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3604949712753296},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35032305121421814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1109/iccais59597.2023.10382245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais59597.2023.10382245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1620042822","https://openalex.org/W2024522552","https://openalex.org/W2087204158","https://openalex.org/W2123487311","https://openalex.org/W2136283040","https://openalex.org/W2142315243","https://openalex.org/W2143833711","https://openalex.org/W2160337655","https://openalex.org/W2789551723","https://openalex.org/W2901074943","https://openalex.org/W2912137037","https://openalex.org/W2955970562","https://openalex.org/W2971649845","https://openalex.org/W2989101914","https://openalex.org/W2989789574","https://openalex.org/W3007456408","https://openalex.org/W3098430945","https://openalex.org/W3118529895","https://openalex.org/W3170298068","https://openalex.org/W3197686404","https://openalex.org/W4237072884","https://openalex.org/W4311457600","https://openalex.org/W4312057568","https://openalex.org/W4361029988","https://openalex.org/W4368348214","https://openalex.org/W4388430806","https://openalex.org/W6636652518"],"related_works":["https://openalex.org/W3036780875","https://openalex.org/W2145874287","https://openalex.org/W3042105824","https://openalex.org/W2363917672","https://openalex.org/W2889242861","https://openalex.org/W4206024512","https://openalex.org/W2966342863","https://openalex.org/W2902283662","https://openalex.org/W2383922297","https://openalex.org/W2483158495"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"multi-sensor":[5],"Kalman":[6,29],"filter":[7],"(KF)":[8],"based":[9],"on":[10],"the":[11,20,27,38,42,59,69,77],"arithmetic":[12],"average":[13],"(AA)":[14],"fusion":[15,74],"method.":[16],"In":[17],"this":[18],"approach,":[19],"fusing":[21],"weights":[22],"are":[23,46],"designed":[24],"according":[25],"to":[26,48,68],"online":[28],"gain":[30],"matrix":[31],"obtained":[32],"from":[33],"each":[34],"local":[35],"filter.":[36],"Both":[37],"standard":[39],"KF":[40,44],"and":[41,50,84],"unscented":[43],"(UKF)":[45],"applied":[47],"linear":[49,83],"nonlinear":[51,85],"state":[52],"space":[53],"models,":[54],"respectively.":[55],"Simulation":[56],"results":[57],"demonstrate":[58],"superior":[60],"target":[61],"tracking":[62],"performance":[63],"of":[64],"our":[65],"approach":[66],"compared":[67],"recently":[70],"proposed":[71],"suboptimal":[72],"AA":[73],"method":[75],"using":[76],"Kullback-Leibler":[78],"divergence":[79],"(KLD)":[80],"in":[81],"both":[82],"scenarios.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
