Nonlinear mitigation of VLC-OFDM based on low complexity DW-KNN

Kechen Yuan; Bingyao Cao

doi:10.1117/12.2631817

14 April 2022 Nonlinear mitigation of VLC-OFDM based on low complexity DW-KNN

Kechen Yuan, Bingyao Cao

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217812 (2022) https://doi.org/10.1117/12.2631817
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

We propose a low-complexity Distance-Weighted KNN (DW-KNN) algorithm to alleviate the nonlinearity of the visible light orthogonal frequency-division multiplexing (VLC-OFDM) and compare the relationship between peak-to-peak voltage (Vpp) and system performance. Experimental results show that the DW-KNN algorithm can effectively alleviate the nonlinearity in the system. This article improves the general DW-KNN, and the prediction complexity of 64QAM signals is reduced by 86% on the basis of ensuring the performance of the algorithm.

Citation Download Citation

Kechen Yuan and Bingyao Cao "Nonlinear mitigation of VLC-OFDM based on low complexity DW-KNN", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217812 (14 April 2022); https://doi.org/10.1117/12.2631817

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