Application of least squares lattice algorithm to active noise control for automobile

H. Sano, S. Adachi, H. Kasuya
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引用次数: 4

Abstract

The paper proposes an algorithm for active noise control (ANC) using the least squares lattice (LSL) algorithm. As a main algorithm for ANC, the LMS algorithm has been used for its simplicity. However, the LMS algorithm has problems of both convergence speed and estimation accuracy in the case of the broadband noise such as road noise which is one of the passenger compartment noises in a car running on rough roads. In order to solve these problems, the LSL algorithm for ANC is considered. By computer simulations, the LSL algorithm turns out to be more effective than the LMS algorithm in both convergence speed and estimation accuracy, especially for the colored input signal used in ANC of road noise.
最小二乘格算法在汽车噪声主动控制中的应用
提出了一种基于最小二乘格(LSL)算法的主动噪声控制算法。LMS算法因其简单性而被广泛采用,是ANC的主要算法之一。然而,LMS算法在存在宽带噪声的情况下存在收敛速度和估计精度的问题,例如道路噪声是在崎岖道路上行驶的汽车的乘客室噪声之一。为了解决这些问题,本文提出了一种适用于ANC的LSL算法。通过计算机仿真,LSL算法在收敛速度和估计精度上都比LMS算法更有效,特别是对于道路噪声ANC中使用的彩色输入信号。
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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