{"id":"https://openalex.org/W2545730745","doi":"https://doi.org/10.1109/iwsda.2013.6849086","title":"Strong tracking filter modeling for GPS robust navigation","display_name":"Strong tracking filter modeling for GPS robust navigation","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2545730745","doi":"https://doi.org/10.1109/iwsda.2013.6849086","mag":"2545730745"},"language":"en","primary_location":{"id":"doi:10.1109/iwsda.2013.6849086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda.2013.6849086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Sixth International Workshop on Signal Design and Its Applications in Communications","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/A5109344655","display_name":"Fanchen Meng","orcid":"https://orcid.org/0009-0004-9672-8166"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanchen Meng","raw_affiliation_strings":["School of Electronic Engineering & Computer Science, Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering & Computer Science, Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388429","display_name":"Shan Wang","orcid":"https://orcid.org/0000-0002-2435-3260"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Wang","raw_affiliation_strings":["School of Electronic Engineering & Computer Science, Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering & Computer Science, Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079874153","display_name":"Bocheng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bocheng Zhu","raw_affiliation_strings":["School of Electronic Engineering & Computer Science, Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering & Computer Science, Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109344655"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79328301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5226","issue":null,"first_page":"154","last_page":"157"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9993000030517578,"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/T10655","display_name":"GNSS positioning and interference","score":0.9990000128746033,"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/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6828961968421936},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6809542179107666},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6254211068153381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202198266983032},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6004098653793335},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5863796472549438},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5824117064476013},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5751078128814697},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.49115869402885437},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4549604654312134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43241867423057556},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3458999693393707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2951011657714844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1357497274875641},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11999309062957764}],"concepts":[{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6828961968421936},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6809542179107666},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6254211068153381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202198266983032},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6004098653793335},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5863796472549438},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5824117064476013},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5751078128814697},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.49115869402885437},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4549604654312134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43241867423057556},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3458999693393707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2951011657714844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1357497274875641},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11999309062957764},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwsda.2013.6849086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda.2013.6849086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Sixth International Workshop on Signal Design and Its Applications in Communications","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":8,"referenced_works":["https://openalex.org/W1566514445","https://openalex.org/W1987575029","https://openalex.org/W1991311777","https://openalex.org/W2014398598","https://openalex.org/W2023173156","https://openalex.org/W2056358222","https://openalex.org/W2117113441","https://openalex.org/W2139835990"],"related_works":["https://openalex.org/W1035502194","https://openalex.org/W4206024512","https://openalex.org/W2164404293","https://openalex.org/W2053335193","https://openalex.org/W4300476109","https://openalex.org/W2772311278","https://openalex.org/W4205759170","https://openalex.org/W2354299011","https://openalex.org/W4385993860","https://openalex.org/W4302337189"],"abstract_inverted_index":{"Efficient":[0],"implementation":[1],"of":[2,114,133,145],"positioning":[3],"algorithm":[4],"plays":[5],"a":[6,76],"crucial":[7],"role":[8],"in":[9,59],"modern":[10],"Global":[11],"Positioning":[12],"System":[13],"(GPS).":[14],"Conventional":[15],"non-linear":[16],"Least":[17],"Squares":[18],"(LS)":[19],"method":[20],"is":[21,143],"applied":[22],"iteratively":[23],"by":[24],"Taylor":[25],"expansion,":[26],"which":[27,125],"doesn't":[28],"combine":[29],"different":[30],"epoch-time":[31],"for":[32],"mutual":[33],"restraint.":[34],"While":[35],"with":[36,62,121],"respect":[37],"to":[38,119,130],"generally":[39],"used":[40],"extended":[41],"Kalman":[42],"filter":[43],"(EKF),":[44],"it":[45],"requires":[46],"an":[47,63],"accurate":[48],"system":[49],"model":[50,67,86],"estimation":[51],"and":[52,88,105,154],"exact":[53],"stochastic":[54],"Gaussian":[55],"white":[56],"noise,":[57],"resulting":[58],"non-uniformly":[60],"convergence":[61],"unknown":[64],"bias":[65],"or":[66],"error.":[68],"To":[69,82],"solve":[70],"this":[71,73],"problem,":[72],"paper":[74],"proposes":[75],"Strong":[77],"Tracking":[78],"Filter":[79],"(STF)":[80],"modeling.":[81],"achieve":[83],"robustness":[84],"about":[85],"uncertainty":[87],"tracking":[89],"capability":[90],"on":[91],"the":[92,95,98,106,122,127,131,140],"mutation":[93],"status,":[94],"STF":[96,142],"adjusts":[97],"real-time":[99],"state":[100],"prediction":[101],"error":[102],"covariance":[103],"matrix":[104],"corresponding":[107],"gain":[108],"matrix.":[109],"It":[110],"also":[111],"makes":[112],"use":[113],"Time-varying":[115],"Fading":[116],"Factor":[117],"(TVFF)":[118],"deal":[120],"past":[123],"data,":[124],"weakens":[126],"stale":[128],"data":[129],"impact":[132],"current":[134],"filtered":[135],"value.":[136],"Simulation":[137],"shows":[138],"that":[139],"proposed":[141],"capable":[144],"enhancing":[146],"more":[147],"than":[148,151],"half":[149],"precision":[150],"traditional":[152],"EKF":[153],"LS.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}