{"id":"https://openalex.org/W2949111949","doi":"https://doi.org/10.1145/3325730.3325754","title":"Research on Matching Accuracy of Underwater Terrain Matching Algorithm Based on Unscented Kalman Filter","display_name":"Research on Matching Accuracy of Underwater Terrain Matching Algorithm Based on Unscented Kalman Filter","publication_year":2019,"publication_date":"2019-04-12","ids":{"openalex":"https://openalex.org/W2949111949","doi":"https://doi.org/10.1145/3325730.3325754","mag":"2949111949"},"language":"en","primary_location":{"id":"doi:10.1145/3325730.3325754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","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/A5100379486","display_name":"Lu Xiong","orcid":"https://orcid.org/0000-0002-1673-2658"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiong Lu","raw_affiliation_strings":["Department of Radar system, OrdnanceNCO, Academy of Army engineering university, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radar system, OrdnanceNCO, Academy of Army engineering university, Wuhan, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103737341","display_name":"Shen Jian","orcid":null},"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":"Shen Jian","raw_affiliation_strings":["Post-doctoral program on control science and engineering, Naval University of Engineering, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Post-doctoral program on control science and engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014064386","display_name":"Bi Xiaowen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bi Xiaowen","raw_affiliation_strings":["Department of Radar system, OrdnanceNCO, Academy of Army engineering university, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radar system, OrdnanceNCO, Academy of Army engineering university, Wuhan, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100379486"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.1452,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56587205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"31"},"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":0.9984999895095825,"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":0.9984999895095825,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9937000274658203,"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":0.8186287879943848},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7033853530883789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168704628944397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6130861043930054},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5802542567253113},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5432682037353516},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.4770590364933014},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.4526112973690033},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.44275155663490295},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.3985036015510559},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.370144248008728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3672020435333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30187270045280457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2404865324497223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1213797926902771},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0777704119682312}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8186287879943848},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7033853530883789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168704628944397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6130861043930054},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5802542567253113},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5432682037353516},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.4770590364933014},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.4526112973690033},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.44275155663490295},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3985036015510559},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.370144248008728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3672020435333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30187270045280457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2404865324497223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1213797926902771},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0777704119682312},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3325730.3325754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1520710862","https://openalex.org/W2054091988","https://openalex.org/W2076529085","https://openalex.org/W2099371695","https://openalex.org/W2121990344","https://openalex.org/W2123487311","https://openalex.org/W2146332636","https://openalex.org/W4205550983"],"related_works":["https://openalex.org/W2375426323","https://openalex.org/W2360000509","https://openalex.org/W2137183867","https://openalex.org/W2119079501","https://openalex.org/W2126616688","https://openalex.org/W4206024512","https://openalex.org/W2139857744","https://openalex.org/W4287243885","https://openalex.org/W2103062922","https://openalex.org/W2483158495"],"abstract_inverted_index":{"UT":[0,17],"transform":[1,18],"is":[2,48,170,194],"the":[3,23,41,53,71,80,83,117,133,146,162,177,197],"core":[4,199],"step":[5],"of":[6,16,32,56,59,86,102,149,165,200],"unscented":[7,104,108],"kalman":[8],"filter":[9],"(UKF)":[10],"algorithm.":[11,36,204],"The":[12,98,121,172],"Sigma":[13],"sampling":[14,88,91,94,183],"type":[15],"has":[19,185],"great":[20],"influence":[21],"on":[22,156,181],"computational":[24,30,191],"complexity,":[25],"state":[26],"estimation":[27],"accuracy":[28],"and":[29,82,145,160,189],"efficiency":[31],"UKF-based":[33,60,72],"terrain":[34,44,61,74,139,167,202],"matching":[35,45,62,75,140,150,163,168,203],"In":[37],"order":[38],"to":[39,131],"obtain":[40],"high":[42],"precision":[43,100,188],"method":[46],"which":[47,193],"suitable":[49,195],"for":[50,196],"engineering":[51],"application,":[52],"Comparative":[54],"analysis":[55,135,148],"three":[57],"kinds":[58],"algorithms":[63],"was":[64,77,114,124,143,152],"carried":[65,153],"out":[66,154],"in":[67],"this":[68],"paper.":[69],"Firstly,":[70],"underwater":[73,138,166,201],"model":[76,142],"given.":[78],"Secondly,":[79],"principle":[81],"performance":[84],"characteristics":[85],"scaled":[87],"method,":[89,92],"Cubature":[90,107],"Gauss-Hermite":[93,111],"methods":[95],"were":[96],"analyzed.":[97],"filtering":[99,187,198],"factors":[101],"symmetric":[103,182],"Kalman":[105,109,112],"filter(SUKF),":[106],"filter(CKF),":[110],"Filter(GHKF)":[113],"studied":[115],"from":[116],"algorithm":[118,169,179],"principle,":[119],"Thirdly,":[120],"computer":[122],"simulation":[123,141,173],"performed":[125],"using":[126],"univariate":[127],"nonstationary":[128],"growth":[129],"model(UNGM)":[130],"test":[132],"previous":[134],"conclusions.":[136],"Finally":[137],"established,":[144],"comparative":[147],"acuraccy":[151],"based":[155,180],"SITAN,":[157],"SUKF,":[158],"CKF":[159],"GHKF,":[161],"effect":[164],"obtained.":[171],"results":[174],"show":[175],"that":[176],"UKF":[178],"strategy":[184],"better":[186],"less":[190],"complexity":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
