一种自动搜索盲均衡中最佳时延的新算法

M. Prandini, M. Campi, R. Leonardi
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引用次数: 0

摘要

本文研究了利用线性时不变系统的输出量和输入统计量的先验知识(盲均衡)来恢复输入信号的问题。提出了一种基于相敏高阶累积量的横向均衡器系数调整迭代方法。该技术的主要特点是实现了均衡延迟的自动选择,从而提高了均衡性能。
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A new algorithm for the automatic search of the best delay in blind equalization
This paper deals with the problem of recovering the input signal applied to a linear time-invariant system from the measures of its output and the a-priori knowledge of the input statistics (blind equalization). Under the assumption of an i.i.d. non-Gaussian input sequence, a new iterative procedure based on phase sensitive high-order cumulants for adjusting the coefficients of a transversal equalizer is introduced. The main feature of the proposed technique is that it realizes the automatic selection of the equalization delay so as to improve the equalization performance.
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