Oria Oria, Ana CintaBecerra González, Juan AntonioMadero Ayora, María JoséBaena Lecuyer, VicenteCrespo Cadenas, Carlos2025-05-192025-05-192025-10Oria Oria, A.C., Becerra, J.A., Madero-Ayora, M.J., Baena Lecuyer, V. y Crespo-Cadenas, C. (2025). Symbol constellation predistortion for DCO-OFDM visible light communications system linearization. Digital Signal Processing, 165, 105310. https://doi.org/10.1016/j.dsp.2025.105310.1051-20041095-4333https://hdl.handle.net/11441/172893©2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND licenseVisible Light Communication (VLC) systems face significant challenges due to the inherent nonlinear characteristics of light emitting diodes (LEDs), which cause distortion in the transmitted DCO-OFDM signals. This signal quality degradation can be lower forcing a large input power back-off (IBO), but leading to an inefficient use of the LEDs. In this work, we propose a predistortion technique, referred to as constellation predistorter (CPD), based on a novel frequency-domain algorithm for the linearization of OFDM signals in VLC systems. The CPD operates on the signal constellation and is based on applying a Bayesian pursuit to obtain a sparse memory polynomial (MP) model matrix. For comparison purposes, this method has been compared to the MP-based time-domain digital predistorter (DPD). The linearization performance of the CPD is measured in terms of the error vector magnitude (EVM) and illumination-to-communication conversion efficiency (ICE) parameters. With the proposed predistorter, we achieve a significant IBO reduction as large as 7.6 dB, enhancing the efficiency of VLC systems, or a nearly 62% decrease in the EVM for a fixed IBO, which represents a substantial reduction in signal distortion and an improvement in ICE.application/pdf8 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Digital predistortionLinearizationSparse Bayesian learningDCO-OFDMisible light communicationsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.dsp.2025.105310