Optimal equalization of wideband coaxial cable channels using “bump” equalizers

Yo-Sung Cho
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引用次数: 8

Abstract

Two methods are described for the optimal equalization of a channel with “Bump” Equalizers composed of several adjustable-gain Bode Networks. The first method is a general one and applies a steepest descent algorithm which minimizes the total mean-squared error (MSE) of the equalized channel. It requires continuous gradient information on the error-gain relationship in order to determine exactly the optimum equalizer adjustments and involves a relatively complicated procedure to calculate the gradient. However, the second method, which also applies a steepest descent algorithm, develops the necessary gradient information with knowledge of the error signal only at selected frequencies across the bandwidth occupied by the channel. Under idealized assumptions, it is shown that the gradients obtained by the second method are exact. When the assumptions do not apply exactly, it is shown by computer simulation that the difference between the gradients obtained by the two methods is very small. A significant potential advantage of the second method lies in the hardware realization which only requires the measurement of the channel error at 2M — 1 frequencies at the equalizing station (where M is the number of Bode Networks in the equalizer). From these frequency domain errors, the gradients can be generated as real-time signals and applied to the appropriate adjustable elements to obtain the optimum gain settings for minimum MSE.
使用“凹凸”均衡器的宽带同轴电缆通道的最佳均衡
两种方法描述了一个通道的最佳均衡与“凹凸”均衡器组成的几个可调增益波德网络。第一种方法是一种通用方法,它采用最陡下降算法,使均衡信道的总均方误差(MSE)最小化。它需要误差增益关系的连续梯度信息,以便准确地确定最佳均衡器调整,并且涉及一个相对复杂的梯度计算过程。然而,第二种方法也应用了最陡下降算法,仅在信道占用带宽的选定频率上了解误差信号,从而开发必要的梯度信息。在理想假设下,第二种方法得到的梯度是精确的。当假设不完全适用时,计算机模拟表明,两种方法得到的梯度差很小。第二种方法的一个重要的潜在优势在于硬件实现,它只需要在均衡站测量2M - 1频率的信道误差(其中M是均衡器中的波德网络的数量)。从这些频域误差中,可以生成梯度作为实时信号,并应用于适当的可调元件,以获得最小MSE的最佳增益设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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