{"id":"https://openalex.org/W2415009525","doi":"https://doi.org/10.1109/plans.2016.7479793","title":"Particle filter studies on terrain referenced navigation","display_name":"Particle filter studies on terrain referenced navigation","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2415009525","doi":"https://doi.org/10.1109/plans.2016.7479793","mag":"2415009525"},"language":"en","primary_location":{"id":"doi:10.1109/plans.2016.7479793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/plans.2016.7479793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)","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/A5035600184","display_name":"Burak Turan","orcid":"https://orcid.org/0000-0002-6100-2320"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Burak Turan","raw_affiliation_strings":["Guidance Systems Design Department, Roketsan Missiles Industries Inc., Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Guidance Systems Design Department, Roketsan Missiles Industries Inc., Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083188991","display_name":"Ali T\u00fcrker Kutay","orcid":"https://orcid.org/0000-0002-7243-1390"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Turker Kutay","raw_affiliation_strings":["Department of Aerospace Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035600184"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":1.7669,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89095018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"949","last_page":"954"},"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":1.0,"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":1.0,"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":0.9962999820709229,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7420639395713806},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6535947322845459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208842992782593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5971766710281372},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5966854095458984},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5920413732528687},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5823678970336914},{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.49389511346817017},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4913724958896637},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.4877622723579407},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4829792082309723},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.43140336871147156},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.39663976430892944},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3243066668510437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2251606285572052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20815643668174744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19374138116836548},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15508583188056946},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.10016882419586182},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09722533822059631},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08955037593841553}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7420639395713806},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6535947322845459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208842992782593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5971766710281372},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5966854095458984},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5920413732528687},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5823678970336914},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.49389511346817017},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4913724958896637},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.4877622723579407},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4829792082309723},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.43140336871147156},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.39663976430892944},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3243066668510437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2251606285572052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20815643668174744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19374138116836548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15508583188056946},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.10016882419586182},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09722533822059631},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08955037593841553},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/plans.2016.7479793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/plans.2016.7479793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/53841","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/53841","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7799999713897705,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1509783656","https://openalex.org/W2003713875","https://openalex.org/W2025197229","https://openalex.org/W2076529085","https://openalex.org/W2160337655","https://openalex.org/W2160461886","https://openalex.org/W4210257298"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W1824810860","https://openalex.org/W2185006999","https://openalex.org/W1583020711","https://openalex.org/W2138381686","https://openalex.org/W2162253570","https://openalex.org/W2010934810","https://openalex.org/W2381817522"],"abstract_inverted_index":{"The":[0,149],"requirement":[1],"for":[2,98,118,183,193],"Terrain":[3,10],"Referenced":[4],"Navigation":[5,12,17],"(TRN)":[6],"also":[7],"known":[8],"as":[9,87],"Aided":[11],"(TAN)":[13],"arises":[14],"when":[15,168],"Global":[16],"Satellite":[18],"System":[19],"(GNSS)":[20],"signals":[21],"are":[22,64,135,191,216],"unavailable,":[23],"jammed":[24],"or":[25,82,89],"blocked.":[26],"In":[27],"recent":[28],"years,":[29],"research":[30],"on":[31,106,257],"the":[32,46,49,58,75,107,114,172,180,252],"application":[33],"of":[34,51,74,125,187,205,233],"TRN":[35,67,258],"to":[36],"aerial":[37],"and":[38,60,78,122,144,207,218,237],"underwater":[39],"vehicles":[40],"has":[41,175],"been":[42],"increased":[43],"rapidly":[44],"with":[45,120,140,202,240],"developments":[47],"in":[48,157,231],"accuracy":[50,236],"digital":[52],"terrain":[53,100],"elevation":[54],"database":[55],"(DTED).":[56],"Since":[57],"land":[59],"sea":[61],"floor":[62],"profiles":[63],"inherently":[65],"nonlinear,":[66],"becomes":[68],"a":[69,184,198],"nonlinear":[70,77],"estimation":[71,84],"problem.":[72,259],"Because":[73],"highly":[76],"non-Gaussian":[79],"problem,":[80],"linear":[81],"linearized":[83],"techniques":[85],"such":[86],"Kalman":[88,91],"Extended":[90],"Filter":[92],"(EKF)":[93],"do":[94],"not":[95],"work":[96],"properly":[97],"many":[99],"profiles.":[101],"Hence,":[102],"this":[103,241],"paper":[104],"focuses":[105],"Sequential":[108,137],"Monte":[109,220],"Carlo":[110,221],"(SMC)":[111],"method":[112],"namely":[113],"particle":[115],"filter":[116],"(PF)":[117],"dealing":[119],"nonlinearities":[121],"different":[123,132,203],"types":[124],"probability":[126],"distributions":[127],"even":[128],"multi":[129],"modal.":[130],"Two":[131],"PF":[133],"implementations":[134,154],"studied,":[136],"Importance":[138,146],"Sampling":[139,145],"effective":[141,165],"resampling":[142,160],"(SIS-R)":[143],"Resampling":[147],"(SIR).":[148],"major":[150],"difference":[151],"between":[152],"these":[153],"is":[155,161,244],"that":[156,225,246],"SIS-R":[158,173,253],"algorithm,":[159],"only":[162],"performed":[163,217],"using":[164],"sample":[166],"size":[167],"actually":[169],"required.":[170],"Therefore,":[171],"algorithm":[174,182],"less":[176,249],"computational":[177,250],"demands":[178],"than":[179],"SIR":[181],"given":[185],"number":[186,204],"particles.":[188],"Both":[189],"algorithms":[190,227],"tested":[192],"an":[194],"aircraft":[195],"scenario":[196],"over":[197],"commercial":[199],"map.":[200],"Simulations":[201],"particles":[206],"inertial":[208],"measurement":[209],"units":[210],"(IMUs)":[211],"having":[212],"various":[213],"error":[214],"measures":[215],"investigated.":[219],"(MC)":[222],"simulations":[223],"show":[224],"both":[226],"yield":[228],"similar":[229],"results":[230],"terms":[232],"horizontal":[234],"position":[235],"convergence.":[238],"Hereby":[239],"paper,":[242],"it":[243],"presented":[245],"besides":[247],"requiring":[248],"load,":[251],"implementation":[254],"works":[255],"accurately":[256]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
