In this paper, a novel outdoor 2-D vehicular visible light positioning (VLP) using a linear array of streetlights and artificial neural network (ANN) is proposed. The classical position methods which are mostly based on triangulation will not work with the linear array of the street light. Hence, we proposed a spatial diversity receiver with ANN to overcome the collinearity condition. The proposed system is simulated for a realistic outdoor condition and provides an accurate positioning with an average RMS error of 0.53m.
|Title of host publication
|2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
|Number of pages
|Published - 10 Nov 2020
|12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
Duration: 20 Jul 2020 → 22 Jul 2020
|12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
|20/07/20 → 22/07/20
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This work is supported by Petroleum Technology Development Fund (PTDF).
- Artificial neural network
- outdoor positioning
- receiver diversity
- visible light positioning
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing