{"id":"https://openalex.org/W2065765532","doi":"https://doi.org/10.1109/ispacs.2014.7024444","title":"An improved adaptive square root unscented Kalman filter for denoising IFOG signal","display_name":"An improved adaptive square root unscented Kalman filter for denoising IFOG signal","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2065765532","doi":"https://doi.org/10.1109/ispacs.2014.7024444","mag":"2065765532"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2014.7024444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2014.7024444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5009114911","display_name":"Mundla Narasimhappa","orcid":null},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mundla Narasimhappa","raw_affiliation_strings":["School of Physics, University of Hyderabad, Hyderabad, India","School of Physics, University of Hyderabad, India -500046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Physics, University of Hyderabad, India -500046","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007129673","display_name":"Samrat L. Sabat","orcid":"https://orcid.org/0000-0002-1197-2943"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samrat L Sabat","raw_affiliation_strings":["School of Physics, University of Hyderabad, Hyderabad, India","School of Physics, University of Hyderabad, India -500046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Physics, University of Hyderabad, India -500046","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044867029","display_name":"Jagannath Nayak","orcid":"https://orcid.org/0000-0003-2608-8728"},"institutions":[{"id":"https://openalex.org/I4210138561","display_name":"Research Centre Imarat","ror":"https://ror.org/03mw5zj47","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210138561","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Nayak","raw_affiliation_strings":["Ineretial Measurement Unit, Research Center Imarat (RCI), Hyderabad, India","Ineretial Measurement Unit, Research Center Imarat (RCI), Hyderabad, India 500069"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ineretial Measurement Unit, Research Center Imarat (RCI), Hyderabad, India","institution_ids":["https://openalex.org/I4210138561"]},{"raw_affiliation_string":"Ineretial Measurement Unit, Research Center Imarat (RCI), Hyderabad, India 500069","institution_ids":["https://openalex.org/I4210138561"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2068,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98321977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"42","issue":null,"first_page":"159","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"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/T10655","display_name":"GNSS positioning and interference","score":0.9958999752998352,"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/kalman-filter","display_name":"Kalman filter","score":0.7587238550186157},{"id":"https://openalex.org/keywords/allan-variance","display_name":"Allan variance","score":0.7123777866363525},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5382812023162842},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5286888480186462},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5192299485206604},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4752347767353058},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4735221862792969},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45794883370399475},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.45608043670654297},{"id":"https://openalex.org/keywords/fibre-optic-gyroscope","display_name":"Fibre optic gyroscope","score":0.4334668815135956},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4250679314136505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4240190088748932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3045389652252197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2609252333641052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2365606427192688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21696430444717407},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.17008423805236816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13549268245697021},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09328612685203552},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.0718761682510376}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7587238550186157},{"id":"https://openalex.org/C5722023","wikidata":"https://www.wikidata.org/wiki/Q1440227","display_name":"Allan variance","level":3,"score":0.7123777866363525},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5382812023162842},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5286888480186462},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5192299485206604},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4752347767353058},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4735221862792969},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45794883370399475},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.45608043670654297},{"id":"https://openalex.org/C83736585","wikidata":"https://www.wikidata.org/wiki/Q2141325","display_name":"Fibre optic gyroscope","level":3,"score":0.4334668815135956},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4250679314136505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4240190088748932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3045389652252197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2609252333641052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2365606427192688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21696430444717407},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.17008423805236816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13549268245697021},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09328612685203552},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.0718761682510376},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/ispacs.2014.7024444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2014.7024444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W292683205","https://openalex.org/W1531218787","https://openalex.org/W1923106296","https://openalex.org/W1982350193","https://openalex.org/W1985449024","https://openalex.org/W1985887205","https://openalex.org/W1996567593","https://openalex.org/W1999940729","https://openalex.org/W2006892810","https://openalex.org/W2025668947","https://openalex.org/W2029966506","https://openalex.org/W2030530735","https://openalex.org/W2031039451","https://openalex.org/W2047456113","https://openalex.org/W2048312361","https://openalex.org/W2049889081","https://openalex.org/W2052883699","https://openalex.org/W2069467998","https://openalex.org/W2080761677","https://openalex.org/W2084047619","https://openalex.org/W2094522975","https://openalex.org/W2099789189","https://openalex.org/W2105292093","https://openalex.org/W2123487311","https://openalex.org/W2126423185","https://openalex.org/W2131420149","https://openalex.org/W2135237327","https://openalex.org/W2135621383","https://openalex.org/W2137043637","https://openalex.org/W2548262391","https://openalex.org/W2548990531","https://openalex.org/W2756344639"],"related_works":["https://openalex.org/W2355421714","https://openalex.org/W2354771888","https://openalex.org/W2349476968","https://openalex.org/W2351997086","https://openalex.org/W2794247156","https://openalex.org/W2367216553","https://openalex.org/W2362155309","https://openalex.org/W2365999220","https://openalex.org/W2054988813","https://openalex.org/W2361622025"],"abstract_inverted_index":{"An":[0],"interferometric":[1],"fiber":[2],"optic":[3],"Gyroscope":[4],"(IFOG)":[5],"is":[6,58,105,118,138,175,197],"a":[7,198],"core":[8],"component":[9],"in":[10],"the":[11,20,43,48,52,59,67,72,76,94,109,115,158,169,178,194,204],"inertial":[12],"navigation":[13],"system":[14],"(INS),":[15],"and":[16,37,45,64,81,125,146,156,166,183],"used":[17,153],"to":[18,42,87,154,209],"measure":[19],"rotation":[21],"rate":[22],"of":[23,32,47,62,74,161,172,181],"an":[24,97],"object":[25],"based":[26,96,131],"on":[27,132],"Sagnac":[28],"principle.":[29],"The":[30,135],"output":[31],"IFOG":[33,68,110,141,162,205],"suffers":[34],"with":[35],"noise":[36,82,159],"random":[38],"drift":[39,56,78,202],"errors,":[40],"due":[41],"variation":[44],"fluctuations":[46],"ambient":[49],"temperature":[50],"during":[51],"operation":[53],"time.":[54],"Random":[55],"error":[57,63,79,187],"main":[60],"source":[61],"it":[65],"degrades":[66],"accuracy.":[69],"To":[70],"improve":[71],"precision":[73],"IFOG,":[75],"stochastic":[77],"models":[80],"compensation":[83],"methods":[84],"are":[85],"required":[86],"suppress":[88],"these":[89],"errors.":[90],"In":[91,112,164],"this":[92,113],"paper,":[93],"residual":[95,133],"adaptive":[98],"square":[99,186],"root":[100,184],"unscented":[101],"Kalman":[102,116,211],"filter":[103,212],"(ASRUKF)":[104],"developed":[106],"for":[107,140,201],"denoising":[108,203],"signal.":[111],"algorithm,":[114],"gain":[117],"adapted":[119],"by":[120,127,177],"using":[121],"window":[122],"average":[123],"method":[124],"followed":[126],"covariance":[128],"matching":[129],"technique":[130],"sequence.":[134],"proposed":[136,173,195],"algorithm":[137,174,196],"utilized":[139],"test":[142],"signal":[143,206],"under":[144],"static":[145,165],"dynamic":[147],"environment.":[148],"Allan":[149],"variance":[150,182],"(AV)":[151],"analysis":[152],"analyze":[155],"quantify":[157],"sources":[160],"sensor.":[163],"maneuvering":[167],"condition,":[168],"performance":[170],"improvement":[171],"indicated":[176],"minimum":[179],"values":[180],"mean":[185],"(RMSE).":[188],"A":[189],"simulation":[190],"result":[191],"reveals":[192],"that":[193],"valid":[199],"solution":[200],"as":[207],"compared":[208],"Unscented":[210],"(UKF).":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}