This paper presents a robust channel estimation framework for optical wireless communications using a neural network.
The framework addresses frequency selective channels to improve system reliability and performance.
The neural network estimates general optical wireless channels without prior channel information.
Simulation results show improved and robust performance compared to conventional methods, highlighting the potential of neural networks in enhancing OWC systems.