反馈主动噪声控制FxLMS算法的随机分析

IF 3.2 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Signal Processing Letters Pub Date : 2024-12-11 DOI:10.1109/LSP.2024.3514792

Cong Wang;Ming Wu;Shuang Zhou;Jun Yang

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引用次数: 0

摘要

反馈主动噪声控制（ANC）系统在减少可预测噪声（如周期噪声、窄带噪声和彩色噪声）方面是有效的。目前关于反馈型ANC系统理论分析的研究还很少，而且仅限于正弦或高斯信号等理想化信号。本文提出了一种基于滤波-x最小均方（FxLMS）算法的反馈ANC系统的随机分析，该算法不依赖于特定的噪声模型和完善的二次路径。导出了均值收敛性和均方收敛性的方程。广泛的模拟正弦，带限白噪声，和混合信号说明了分析的准确性。

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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Stochastic Analysis of FxLMS Algorithm for Feedback Active Noise Control

Feedback active noise control (ANC) systems are effective in reducing predictable noise, e.g. periodic, narrowband and colored noise. There are still few studies on the theoretical analysis of feedback ANC systems, and are limited to idealized signals such as sinusoidal or Gaussian signals. This paper presents the stochastic analysis of a feedback ANC system based on the filtered-x least mean square (FxLMS) algorithm, which is not relying on a specific noise model and perfect secondary path. The equations for the mean and mean-square convergence behavior are derived. Extensive simulations of sinusoidal, band-limited white noise, and hybrid signals illustrate the accuracy of the analysis.

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来源期刊

IEEE Signal Processing Letters 工程技术-工程：电子与电气

CiteScore

7.40

自引率

12.80%

发文量

339

审稿时长

2.8 months

期刊介绍： The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.