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A Decision Feedback Equalizer Based on Non-singleton Fuzzy Support Vector Machine
基于非单点模糊支持向量机的判决反馈均衡器

Keywords: Non-singleton,Fuzzy system,Support Vector Machine (SVM),Equalizer,Decision feedback
非单点
,模糊系统,支持向量机,均衡器,判决反馈,模糊支持向量机,判决反馈均衡器,Support,Vector,Machine,Fuzzy,Based,干扰能力,线性均衡,结果,比较,仿真实验,可调参数,高斯核函数,调整,梯度下降法,利用,滤波特性,框架,方法

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Abstract:

A non-singleton fuzzy support vector machine-based decision feedback equalizer (NSFSVM DFE) is proposed in this paper for severely nonlinear distorted channels with burst jamming. The method adopted non-singleton fuzzy Gauss kernel function with preceding filtering capability of which the tunable parameter is adjusted by gradient-descent algorithm. Simulation is carried out to compare it with other nonlinear channel equalizers. The result shows the method has much better performance on nonlinear equalization and anti-burst jamming.

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