通信与信息技术Issue(4)：49-52,4.
RBF-LMS混合后均衡器设计
Design of an RBF-LMS hybrid post-equalizer
摘要
Abstract
To address the issue of Light Emitting Diode(LED)nonlinear distortion in Visible Light Communication Optical Orthogo-nal Frequency Division Multiplexing(O-OFDM)systems,a hybrid post-equalizer scheme based on Radial Basis Function(RBF)and Least Mean Square(LMS)algorithms is proposed.This scheme cascades an LMS-based equalizer with an RBF neural network to form a hybrid post-equalizer for mitigating LED nonlinear distortion.Initially,the LMS equalizer is employed to partially suppress the nonlinear distortion,followed by a secondary equalization process utilizing the RBF neural network.Compared to using a standalone RBF neural network for LED nonlinearity suppression,this proposed scheme enables rapid and accurate determination of the center points of the hid-den layer basis functions and achieves clear linear separation in high-dimensional space,thereby enhancing the equalization perfor-mance.Finally,the effectiveness of the proposed scheme is validated through Monte Carlo simulation methods.关键词
可见光通信/LED非线性/RBF/混合后均衡器Key words
Visible light Communication/LED nonlinearity/RBF/Hybrid post-equalizer分类
信息技术与安全科学引用本文复制引用
雷蕾,赵媛,杜彩丽..RBF-LMS混合后均衡器设计[J].通信与信息技术,2025,(4):49-52,4.基金项目
西安明德理工学院科研基金资助项目(项目编号:2024MDY02) （项目编号:2024MDY02）
