{"id":"https://openalex.org/W2768100659","doi":"https://doi.org/10.1109/vtcspring.2017.8108347","title":"A Vehicle Positioning Method Based on Joint TOA and DOA Estimation with V2R Communications","display_name":"A Vehicle Positioning Method Based on Joint TOA and DOA Estimation with V2R Communications","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2768100659","doi":"https://doi.org/10.1109/vtcspring.2017.8108347","mag":"2768100659"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2017.8108347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","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/A5101630401","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-9172-7800"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527302","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0002-8387-1754"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610535","display_name":"Lianfeng Shen","orcid":"https://orcid.org/0000-0002-7250-3462"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianfeng Shen","raw_affiliation_strings":["National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory Southeast University Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025990925","display_name":"Yi Wu","orcid":"https://orcid.org/0000-0001-5704-2111"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education Fujian Normal University Fuzhou P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education Fujian Normal University Fuzhou P. R. China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101630401"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.7167,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73702808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9983999729156494,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.6872869729995728},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6366446018218994},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5816101431846619},{"id":"https://openalex.org/keywords/time-of-arrival","display_name":"Time of arrival","score":0.5781869888305664},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5052579045295715},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4732257127761841},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4723461866378784},{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.4659045338630676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43671730160713196},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.43572190403938293},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4262388050556183},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.40390250086784363},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37407946586608887},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.19814112782478333},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1850740909576416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17479580640792847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16016271710395813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1403559148311615},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.11104854941368103},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08548077940940857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872869729995728},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6366446018218994},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5816101431846619},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.5781869888305664},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5052579045295715},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4732257127761841},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4723461866378784},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.4659045338630676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43671730160713196},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.43572190403938293},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4262388050556183},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.40390250086784363},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37407946586608887},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.19814112782478333},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1850740909576416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17479580640792847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16016271710395813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1403559148311615},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.11104854941368103},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08548077940940857},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2017.8108347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1577024278","https://openalex.org/W1968079322","https://openalex.org/W1978255623","https://openalex.org/W1985936705","https://openalex.org/W2065656021","https://openalex.org/W2097423891","https://openalex.org/W2110922433","https://openalex.org/W2122886340","https://openalex.org/W2157326466","https://openalex.org/W2158318264","https://openalex.org/W2290933052"],"related_works":["https://openalex.org/W4313886815","https://openalex.org/W2773722138","https://openalex.org/W2038183074","https://openalex.org/W4382204317","https://openalex.org/W2561510652","https://openalex.org/W2539149779","https://openalex.org/W2547259523","https://openalex.org/W2100915163","https://openalex.org/W2113817303","https://openalex.org/W2143460307"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,61],"vehicle":[4],"positioning":[5,79,107],"method":[6,103],"based":[7],"on":[8],"joint":[9],"estimation":[10,108],"of":[11,13,18,67],"time":[12],"arrival":[14,19],"(TOA)":[15],"and":[16,35,94,116],"direction":[17],"(DOA)":[20],"with":[21,110],"Vehicle-to-Roadside":[22],"(V2R)":[23],"communications.":[24],"By":[25],"analyzing":[26],"the":[27,36,40,52,74,78,81,91,101,111],"measured":[28],"channel":[29],"frequency":[30],"response":[31],"(CFR)":[32],"between":[33],"vehicles":[34,68],"roadside":[37],"unit":[38],"(RU),":[39],"enhanced":[41],"two-dimensional":[42],"matrix":[43],"pencil":[44],"(2-D":[45],"MP)":[46],"algorithm":[47],"is":[48,86],"implemented":[49],"to":[50],"design":[51],"parameter":[53],"estimator,":[54],"which":[55],"has":[56],"lower":[57],"complexity":[58],"without":[59],"forming":[60],"covariance":[62],"matrix.":[63],"The":[64],"position":[65],"coordinates":[66],"can":[69,104],"then":[70],"be":[71],"calculated":[72],"from":[73],"estimates.":[75],"To":[76],"improve":[77],"accuracy,":[80],"extended":[82],"Kalman":[83],"filtering":[84],"(EKF)":[85],"further":[87],"introduced":[88],"for":[89],"mitigating":[90],"noise":[92],"influence":[93],"estimating":[95],"error.":[96],"Simulation":[97],"results":[98],"show":[99],"that":[100],"proposed":[102],"achieve":[105],"better":[106],"compared":[109],"Global":[112],"Positioning":[113],"System":[114],"(GPS)":[115],"inertial":[117],"navigation":[118],"systems":[119],"(INS)":[120],"fusion":[121],"method.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}