Complex-Valued Maximum Joint Entropy Algorithm for Blind Decision Feedback Equalizer

V. Krstic, Z. Petrovíc
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引用次数: 4

Abstract

This paper proposes the complex domain solution of the blind decision feedback equalizer (DFE) based on joint entropy maximization (JEM) criterion. For the feedback filter of DFE, a new complex activation function is defined and then the stochastic gradient algorithm of the JEM type is derived. The fact that the JEM cost is a real function of complex quantities suggests the method associated to a least man-square criterion.
盲决策反馈均衡器的复值最大联合熵算法
提出了基于联合熵最大化准则的盲决策反馈均衡器的复域解。对于DFE反馈滤波器,定义了一个新的复激活函数,推导了JEM型随机梯度算法。JEM成本是复数的实函数,这一事实表明该方法与最小人二乘准则相关联。
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