Enhanced Vehicle Localization in Urban NLoS Using Multipath Ray Tracing Fingerprints

Identifying the precise location of a vehicular mobile is a challenging task because satellite navigation system standalone is unable to give the expected performance in an Urban propagation scenario. This paper proposes a novel technique which integrates ray-tracing simulation tool and Channel Impu...

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Bibliographic Details
Published in2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) pp. 1 - 5
Main Authors de Sousa, Marcelo N., Thoma, Reiner S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Channel estimation
Data models
Delays
Emitter Localization
Estimation
Mobile Station Localization
Multipath Fingerprints
Ray tracing
Ray tracing simulation
Satellite navigation systems
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Summary:Identifying the precise location of a vehicular mobile is a challenging task because satellite navigation system standalone is unable to give the expected performance in an Urban propagation scenario. This paper proposes a novel technique which integrates ray-tracing simulation tool and Channel Impulse Response (CIR) estimation and improves the vehicular location even in a Dense Multipath (DM) scenario. In this paper, we try to overcome these limitations and propose a novel technique of using the Ray-tracing simulation tool to build a radio frequency map of CIE of every point in the simulation domain. Finally, we match the multipath components drawn estimated to a defined location. The proposed scheme is comparatively much accurate to other state-of-art techniques for position estimation.
ISSN:2577-2465
DOI:10.1109/VTCFall.2018.8690642