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dc.contributor.authorAnsari, Abdul Rahim
dc.contributor.authorSaeed, Nasir
dc.contributor.authorHaq, Mian Imtiaz Ul
dc.contributor.authorCho, Sunghyun
dc.date.accessioned2018-04-24T06:46:17Z
dc.date.available2018-04-24T06:46:17Z
dc.date.issued2018-04-10
dc.identifier.citationAnsari AR, Saeed N, Haq MIU, Cho S (2018) Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-hoc Networks. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2018.2825371.
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2018.2825371
dc.identifier.urihttp://hdl.handle.net/10754/627599
dc.description.abstractVehicular ad hoc networks (VANETs) represent a very promising research area because of their ever increasing demand, especially for public safety applications. In VANETs vehicles communicate with each other to exchange road maps and traffic information. In many applications, location-based services are the main service, and localization accuracy is the main problem. VANETs also require accurate vehicle location information in real time. To fulfill this requirement, a number of algorithms have been proposed; however, the location accuracy required for public safety applications in VANETs has not been achieved. In this paper, an improved subspace algorithm is proposed for time of arrival (TOA) measurements in VANETs localization. The proposed method gives a closed-form solution and it is robust for large measurement noise, as it is based on the eigen form of a scalar product and dimensionality. Furthermore, we developed the Cramer-Rao Lower Bound (CRLB) to evaluate the performance of the proposed 3D VANETs localization method. The performance of the proposed method was evaluated by comparison with the CRLB and other localization algorithms available in the literature through numerous simulations. Simulation results show that the proposed 3D VANETs localization method is better than the literature methods especially for fewer anchors at road side units and large noise variance.
dc.description.sponsorshipThis work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2015R1D1A1A01059473).
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8334533/
dc.rights(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectAd hoc networks
dc.subjectCramer-Rao lower bound (CRLB)
dc.subjectDistance measurement
dc.subjectInterference
dc.subjectLocalization
dc.subjectRoads
dc.subjectSafety
dc.subjectThree-dimensional displays
dc.subjectTime of arrival (TOA)
dc.subjectVehicular ad hoc networks (VANETs)
dc.titleAccurate 3D Localization Method for Public Safety Applications in Vehicular Ad-hoc Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Access
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Computer Science and Engineering, Hanyang University, Ansan, Korea.
dc.contributor.institutionFaculty of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan.
kaust.personSaeed, Nasir
refterms.dateFOA2018-06-14T04:24:59Z
dc.date.published-online2018-04-10
dc.date.published-print2018


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