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A Localization Algorithm Based on V2I Communications and AOA Estimation

delete2017-01-01
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PRE
AI
A
Alessio Fascista *
G
Giovanni Ciccarese
A
Angelo Coluccia
G
Giuseppe Ricci
DOI:10.1109/LSP.2016.2639098delete
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Abstract

Abstract

En 中文
Motivated by safety applications in urban vehicular scenarios, where GPS does not typically provide the required positioning accuracy, a GPS-free localization technique that exploits vehicle-to-infrastructure communications is proposed. In particular, it provides for a vehicle to opportunistically use the beacon packets received from a roadside unit (RSU) in order to obtain estimates of their angle of arrival. Such estimates, together with the RSU's position information within beacon packets, are fed to a weighted least squares algorithm that aims at localizing the vehicle. The algorithm tries to take advantage of reliable measurements typically collected closer to the RSU-where a very high signal-to-noise ratio yields an accurate angular resolution-while keeping robustness against multipath phenomena. Simulation results show the effectiveness of the proposed technique.
Keywords:
Angle of arrival (AOA)
positioning
vehicular ad-hoc network (VANET)
vehicle-to-infrastructure (V2I)

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

U
University of Salento
Scholars:
5.2K
Papers: 4.9K
Citations: 6.0K