The Constrained Stability Least Mean Square Algorithm for Active Noise Control

F. Albu
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引用次数: 8

Abstract

In this paper, we propose the constrained stability least mean square (CS-LMS) algorithm for multichannel active noise control (ANC). It is shown that the centralized version is able to have better attenuation and tracking performance for different step sizes, ideal and noisy plant models. It is also shown that the proposed distributed version using an incremental communication strategy can obtain a better noise reduction performance is a proper step is used. These performance improvements over the NLMS solutions are obtained with a price of a slight increase in the numerical complexity.
有源噪声控制的约束稳定性最小均方算法
本文提出了一种多通道有源噪声控制的约束稳定性最小均方算法(CS-LMS)。结果表明,对于不同步长、理想和有噪声的植物模型,集中式模型具有较好的衰减和跟踪性能。结果表明,采用增量通信策略的分布式版本在适当的步骤下可以获得较好的降噪性能。与NLMS解决方案相比,这些性能改进是以略微增加数值复杂性为代价的。
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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