{"id":"https://openalex.org/W2786439742","doi":"https://doi.org/10.1109/iccis.2017.8274754","title":"Noise covariance identification using autocovariance least-squares technique for state estimation of quadrotor","display_name":"Noise covariance identification using autocovariance least-squares technique for state estimation of quadrotor","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2786439742","doi":"https://doi.org/10.1109/iccis.2017.8274754","mag":"2786439742"},"language":"en","primary_location":{"id":"doi:10.1109/iccis.2017.8274754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2017.8274754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089885402","display_name":"Jing\u2010Yun Wu","orcid":"https://orcid.org/0000-0002-7257-4711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingyun Wu","raw_affiliation_strings":["Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714422","display_name":"Guoliang Liu","orcid":"https://orcid.org/0000-0001-6614-6932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoliang Liu","raw_affiliation_strings":["Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055470393","display_name":"Tao Huang","orcid":"https://orcid.org/0000-0002-7645-4290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Huang","raw_affiliation_strings":["Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algorithm Department, Guizhou AreoX Technologies Co., Ltd, Guizhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1384,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47685986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"313","issue":null,"first_page":"88","last_page":"93"},"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":0.9983999729156494,"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":0.9983999729156494,"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":0.9927999973297119,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocovariance","display_name":"Autocovariance","score":0.9799131155014038},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7166653871536255},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7033835053443909},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5298751592636108},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4996223449707031},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4827815592288971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4485156834125519},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.44707977771759033},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4198876619338989},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4133754074573517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39981165528297424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3779522478580475},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.3011015057563782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29855990409851074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16293179988861084},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.10092511773109436}],"concepts":[{"id":"https://openalex.org/C88271906","wikidata":"https://www.wikidata.org/wiki/Q786973","display_name":"Autocovariance","level":3,"score":0.9799131155014038},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7166653871536255},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7033835053443909},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5298751592636108},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4996223449707031},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4827815592288971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4485156834125519},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.44707977771759033},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4198876619338989},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4133754074573517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39981165528297424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3779522478580475},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.3011015057563782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29855990409851074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16293179988861084},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.10092511773109436},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccis.2017.8274754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2017.8274754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","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":14,"referenced_works":["https://openalex.org/W1973734421","https://openalex.org/W2000580046","https://openalex.org/W2020934227","https://openalex.org/W2024029144","https://openalex.org/W2032982167","https://openalex.org/W2075531834","https://openalex.org/W2085101420","https://openalex.org/W2093516101","https://openalex.org/W2124199917","https://openalex.org/W2132622866","https://openalex.org/W2141666765","https://openalex.org/W2340163488","https://openalex.org/W6655473528","https://openalex.org/W6703710558"],"related_works":["https://openalex.org/W2022823194","https://openalex.org/W2094556068","https://openalex.org/W1974213016","https://openalex.org/W3124846677","https://openalex.org/W2110484224","https://openalex.org/W2031975314","https://openalex.org/W59010940","https://openalex.org/W3178402891","https://openalex.org/W176882373","https://openalex.org/W1517229950"],"abstract_inverted_index":{"When":[0],"estimating":[1],"the":[2,9,12,20,29,36,39,47,52,56,64,70],"state":[3,57],"of":[4,38,55],"a":[5],"quadrotor,":[6],"information":[7],"about":[8],"noise,":[10],"especially":[11],"noise":[13,33],"covariances":[14,43],"are":[15,44,67],"necessary.":[16],"In":[17],"this":[18],"paper,":[19],"autocovariance":[21],"least-square":[22],"(ALS)":[23],"method":[24],"is":[25],"applied":[26],"to":[27,50,69],"identify":[28],"process":[30],"and":[31],"measurement":[32],"covariance":[34],"in":[35,46],"model":[37],"quadrotor.":[40],"The":[41,59],"identified":[42],"used":[45],"EKF":[48],"program":[49],"get":[51],"filtered":[53,65],"values":[54,66],"variables.":[58],"simulation":[60],"results":[61],"show":[62],"that":[63],"close":[68],"true":[71],"values.":[72]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
