Enhanced Vehicle Localization in Urban NLoS Using Multipath Ray Tracing Fingerprints
Enhanced Vehicle Localization in Urban NLoS Using Multipath Ray Tracing Fingerprints
- New search for: de Sousa, Marcelo N.
- New search for: Thoma, Reiner S.
- New search for: de Sousa, Marcelo N.
- New search for: Thoma, Reiner S.
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.
Document information
Enhanced Vehicle Localization in Urban NLoS Using Multipath Ray Tracing Fingerprints
2018-08-01
1631564 byte
Conference paper
Electronic Resource
English
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