{"id":"https://openalex.org/W4415923984","doi":"https://doi.org/10.3390/sym17111881","title":"Time-Varying Current Estimation Method for SINS/DVL Integrated Navigation Based on Augmented Observation Algorithm","display_name":"Time-Varying Current Estimation Method for SINS/DVL Integrated Navigation Based on Augmented Observation Algorithm","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W4415923984","doi":"https://doi.org/10.3390/sym17111881"},"language":"en","primary_location":{"id":"doi:10.3390/sym17111881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111881","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1881/pdf?version=1762345857","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/11/1881/pdf?version=1762345857","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016352801","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0002-5860-841X"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":"https://orcid.org/0000-0002-5860-841X","affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089151488","display_name":"Hongwei Bian","orcid":"https://orcid.org/0009-0006-1165-7915"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Bian","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027580636","display_name":"Fangneng Li","orcid":"https://orcid.org/0000-0002-2164-0205"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangneng Li","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024182431","display_name":"Rongying Wang","orcid":"https://orcid.org/0009-0008-3307-2621"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongying Wang","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636317","display_name":"Yunfeng Hu","orcid":"https://orcid.org/0000-0002-5474-6292"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaojin Hu","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064163686","display_name":"Jingshu Li","orcid":"https://orcid.org/0000-0003-1098-1327"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingshu Li","raw_affiliation_strings":["Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":"https://orcid.org/0000-0003-1098-1327","affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024182431"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":3.8114,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94142293,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":"11","first_page":"1881","last_page":"1881"},"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":0.26910001039505005,"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":0.26910001039505005,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.147599995136261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11622","display_name":"Maritime Navigation and Safety","score":0.11659999936819077,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.7218999862670898},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.6398000121116638},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.6353999972343445},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5746999979019165},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.47440001368522644},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.43950000405311584},{"id":"https://openalex.org/keywords/square-root","display_name":"Square root","score":0.41850000619888306},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.400299996137619},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.39100000262260437}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7218999862670898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6513000130653381},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.6398000121116638},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.6353999972343445},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5509999990463257},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.47440001368522644},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C11577676","wikidata":"https://www.wikidata.org/wiki/Q134237","display_name":"Square root","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C2777891301","wikidata":"https://www.wikidata.org/wiki/Q3475123","display_name":"Navigation system","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3540000021457672},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.3481999933719635},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31139999628067017},{"id":"https://openalex.org/C187599188","wikidata":"https://www.wikidata.org/wiki/Q129558","display_name":"Ocean current","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.28859999775886536},{"id":"https://openalex.org/C39425265","wikidata":"https://www.wikidata.org/wiki/Q7098944","display_name":"Optimal estimation","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17111881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111881","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1881/pdf?version=1762345857","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17111881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111881","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1881/pdf?version=1762345857","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5141114986","display_name":null,"funder_award_id":"52471386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415923984.pdf","grobid_xml":"https://content.openalex.org/works/W4415923984.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2037983380","https://openalex.org/W2052746091","https://openalex.org/W2072377119","https://openalex.org/W2072574603","https://openalex.org/W2100600017","https://openalex.org/W2267281579","https://openalex.org/W2623945001","https://openalex.org/W2746705785","https://openalex.org/W2782291526","https://openalex.org/W2793200802","https://openalex.org/W2920146778","https://openalex.org/W2958793919","https://openalex.org/W2968936678","https://openalex.org/W2989921246","https://openalex.org/W3010229145","https://openalex.org/W3021771502","https://openalex.org/W3044791624","https://openalex.org/W3096967432","https://openalex.org/W3186677057","https://openalex.org/W3217560493","https://openalex.org/W4206496821","https://openalex.org/W4382929958","https://openalex.org/W4386029097","https://openalex.org/W4387350725","https://openalex.org/W4387418648","https://openalex.org/W4392096116","https://openalex.org/W4408118711"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,5,12,20,53,62,70,94,121,130,135,151,154,158],"problem":[3],"of":[4,141,153,157],"bottom":[6],"velocity":[7,97,144],"being":[8],"directly":[9,27],"affected":[10],"by":[11,88,146,164],"time-varying":[13,108,142],"ocean":[14],"currents":[15,39,60],"when":[16],"DVL":[17,90],"operates":[18],"in":[19],"water":[21],"observation":[22,81,91,102],"mode,":[23],"it":[24],"cannot":[25],"be":[26],"used":[28],"for":[29],"combined":[30,159],"SINS/DVL":[31,160],"navigation.":[32],"Existing":[33],"methods":[34],"generally":[35],"approximate":[36],"small-scale,":[37],"short-term":[38],"as":[40],"constant;":[41],"however,":[42],"this":[43],"assumption":[44],"is":[45,162],"inconsistent":[46],"with":[47,69],"reality":[48],"over":[49,165],"longer":[50],"durations.":[51],"When":[52],"conventional":[54],"Kalman":[55],"filter":[56],"(KF)":[57],"algorithm":[58,82,123,128],"incorporates":[59],"into":[61],"state":[63],"vector,":[64],"their":[65],"velocities":[66],"become":[67],"entangled":[68],"SINS":[71],"errors,":[72],"limiting":[73],"estimation":[74,145],"accuracy.":[75],"This":[76,104],"paper":[77],"proposes":[78],"an":[79],"augmented":[80],"(AOA)":[83],"that":[84],"achieves":[85],"error":[86,139],"decoupling":[87],"enhancing":[89],"and":[92,114],"deriving":[93],"observable":[95],"current":[96,143],"equation":[98],"without":[99],"needing":[100],"external":[101],"information.":[103],"approach":[105],"effectively":[106],"estimates":[107],"currents.":[109],"The":[110],"results":[111],"from":[112],"simulations":[113],"shipboard":[115],"tests":[116],"show":[117],"that,":[118],"compared":[119],"to":[120],"reference":[122],"(Augmented":[124],"Observation":[125],"Quantity":[126],"Filtering":[127],"(AOQ)),":[129],"proposed":[131],"AOA":[132],"significantly":[133],"decreases":[134],"root":[136],"mean":[137],"square":[138],"(RMSE)":[140],"more":[147],"than":[148],"67%.":[149],"Additionally,":[150],"RMSE":[152],"positioning":[155],"accuracy":[156],"navigation":[161],"improved":[163],"68%.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-05T00:00:00"}