Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-hoc Networks
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-04-10Online Publication Date
2018-04-10Print Publication Date
2018Permanent link to this record
http://hdl.handle.net/10754/627599
Metadata
Show full item recordAbstract
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. 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.Citation
Ansari 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.Sponsors
This 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).Journal
IEEE AccessAdditional Links
https://ieeexplore.ieee.org/document/8334533/ae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2018.2825371