ZA-LMS based Sparse Channel Estimator for VLC-OTFS

Abstract

Visible light communication (VLC) is an affordable and eco-friendly wireless communication technology which enables high-speed data transmission with visible light. However, it has been found in the literature that the performance of a VLC system deteriorates due to multipath between the receiver and the transmitter. Recently proposed orthogonal time frequency space (OTFS) modulation scheme addresses the problem of distortion due to multipath by mapping the symbols in delay-Doppler (DD) domain. The DD representation of VLC channels in OTFS leads to inherent sparsity. Recognizing this inherent sparsity, in this paper, we have proposed zero attracting-least mean square (ZA-LMS) algorithm for channel estimation. We compare the performance of proposed algorithm with traditional least mean square (LMS) algorithm. The simulations performed over ceiling-bounce VLC channel have exhibited superior mean square deviation (MSD) and bit error performance of ZA-LMS based estimator over classical LMS estimator. © 2022 IEEE.