采用统计整形的自适应回波抵消

A. Zerguine, C. Cowan, M. Bettayeb
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引用次数: 3

摘要

本文提出了一种新的长回声消去器的批量延迟估计结构,大大减少了过量误差。近端段和远端段之间的延迟计算错误是产生超差的主要原因之一。提出了基于最小均方算法的两种分析,其中考虑了过渡的特定形状(在近端结束时和远端部分开始时)。研究了瞬态和稳态行为以及收敛条件,并对每种过渡所开发的算法进行了比较。仿真结果与理论推导吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive echo cancellation using statistical shaping
This article presents a novel structure for bulk delay estimation in long echo cancellers which reduces the amount of excess error considerably. The miscalculation of the delay between the near end and the far end sections is one of the main causes of the excess error. Two analyses, based on the least mean square algorithm, are presented where a certain shape for the transitions (at the end of the near end and at the beginning of the far end sections) is considered. Transient and steady-state behavior and convergence conditions are studied, as well as a comparison between the algorithms developed for each transition. Simulation results agree well with theoretical derivations.
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