Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising

no code implementations • 20 Nov 2021 • Bugra Turan, O. Nuri Koc, Emrah Kar, Sinem Coleri

In this paper, to investigate both time-correlated and white noise components of the V-VLC channel, we propose a noise analysis based on Allan variance (AVAR), which provides a time-series analysis method to identify noise from the data.

Denoising Time Series +1

Measurement Based Non-Line-Of-Sight Vehicular Visible Light Communication Channel Characterization

no code implementations • 22 Nov 2021 • Bugra Turan, Omer Narmanlioglu, Osman Nuri Koc, Emrah Kar, Sinem Coleri, Murat Uysal

We propose a distance-based NLoS V-VLC channel path loss model considering reflection surface characteristics and NLoS V-VLC channel impulse response (CIR) incorporating the temporal broadening effect due to vehicle reflections through weighted double gamma function.