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首页> 外文期刊>Circuits, systems, and signal processing >A New Hybrid Active Noise Control System with Convex Combination of Time and Frequency Domain Filtered-X LMS Algorithms
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A New Hybrid Active Noise Control System with Convex Combination of Time and Frequency Domain Filtered-X LMS Algorithms

机译:时域和频域滤波-X LMS算法凸组合的新型混合主动噪声控制系统

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摘要

A conventional single-channel feedforward active noise control (ANC) system encounters noise from multiple sources. In many cases, there is a reference signal that is independently available which is correlated with the ambient noise. However, in some situations, a portion of the noise generated is uncorrelated with the reference signal. In this paper, a new hybrid ANC (HANC) system is proposed using a convex combination of time and frequency domain Filtered-X LMS (FXLMS) algorithms. The feedforward part uses a time domain FXLMS (TDFXLMS) algorithm to control disturbances that are correlated with the reference noise and the feedback part uses a multiresolution analysis-based frequency domain wavelet packet FXLMS (WPFXLMS) algorithm to control the uncorrelated disturbances encountered during the operation of an ANC system. An extra adaptive filter is used to smoothen the error signal in the HANC system. An effort is made to exploit the benefits of the structural design and time-frequency domain signal processing techniques for active control of disturbances that are both correlated and uncorrelated with the reference noise. As a result of the convex combination of the TDFXLMS and WPFXLMS algorithms in a HANC system, the proposed method is successful in canceling the disturbances encountered by the ANC system from multiple noise sources.
机译:常规的单通道前馈有源噪声控制(ANC)系统遇到来自多个源的噪声。在许多情况下,存在独立可用的参考信号,该参考信号与环境噪声相关。但是,在某些情况下,产生的一部分噪声与参考信号不相关。本文提出了一种新的混合ANC(HANC)系统,该系统使用时域和频域Filtered-X LMS(FXLMS)算法的凸组合。前馈部分使用时域FXLMS(TDFXLMS)算法来控制与参考噪声相关的干扰,反馈部分使用基于多分辨率分析的频域小波包FXLMS(WPFXLMS)算法来控制操作过程中遇到的不相关干扰ANC系统。额外的自适应滤波器用于平滑HANC系统中的误差信号。努力利用结构设计和时频域信号处理技术的好处来主动控制与参考噪声相关和不相关的干扰。由于TDFXLMS和WPFXLMS算法在HANC系统中的凸组合,所提出的方法成功地消除了ANC系统从多个噪声源中遇到的干扰。

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