Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조성현 | - |
dc.date.accessioned | 2018-12-26T02:25:09Z | - |
dc.date.available | 2018-12-26T02:25:09Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.citation | IEEE ACCESS, v. 6, Page. 20756-20763 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/abstract/document/8334533 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/81012 | - |
dc.description.abstract | Vehicular 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. The 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 the VANETs has not been achieved. In this paper, an improved subspace algorithm is proposed for time of arrival 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 3-D 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 3-D VANETs localization method is better than the literature methods, especially for fewer anchors at road side units and large noise variance. | en_US |
dc.description.sponsorship | This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), Ministry of Education, under Grant NRF-2015R1D1A1A01059473. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Vehicular ad hoc networks (VANETs) | en_US |
dc.subject | localization | en_US |
dc.subject | time of arrival (TOA) | en_US |
dc.subject | Cramer-Rao lower bound (CRLB) | en_US |
dc.title | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks | en_US |
dc.type | Article | en_US |
dc.relation.volume | 6 | - |
dc.identifier.doi | 10.1109/ACCESS.2018.2825371 | - |
dc.relation.page | 20756-20763 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | Ansari, A.R. | - |
dc.contributor.googleauthor | Saeed, N. | - |
dc.contributor.googleauthor | Ul Haq, M.I. | - |
dc.contributor.googleauthor | Cho, S. | - |
dc.relation.code | 2018011916 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | chopro | - |
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