Demonstration of Mitigating Non-Linear Distortions using Deep Neural Networks for Vehicular VLC

Autor:	Mathini Sellathurai, Venkata Mani Vakamulla, Abhaynarasimha K S
Rok vydání:	2023
DOI:	10.36227/techrxiv.21618207.v2
Popis:	In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Vehicular Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::21b73c3526586468d4155beb3f4b93d1 https://doi.org/10.36227/techrxiv.21618207.v2 Zobrazit plný text záznamu