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ACTIVE CONTROL OF VEHICLE INTERIOR ROAD NOISE USING NFXLMS ALGORITHM WITH TWO LOUDSPEAKERS

机译:用两个扬声器使用NFXLMS算法的车辆内部道路噪声主动控制

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It is considered that the highly dependency for operating conditions of traditional time-domain fil-tered-x least mean square (FXLMS) algorithm in the active vehicle interior road noise control system. This paper establishes a multi-channel active road noise control (ARNC) system based on normalized filtered-x least mean square (NFXLMS) algorithm to improve the adaptability of ARNC system to operating conditions. Firstly, the mathematical model of the multi-channel ARNC system based on NFXLMS algorithm is established by theoretical derivation. Furthermore, the computational complexity of the algorithm is derived and compares with the traditional time domain FXLMS algorithm. Secondly, the simulation model, which consists of 4 reference signals, 2 loudspeakers and 1 microphone, based on FXLMS and NFXLMS algorithms is established respectively. The condition adaptability and noise reduction effect of the two systems is compared by offline simulation. Finally, a hardware-in-the-loop (HIL) test platform of the two systems based on MicrAutoBox is built, and the on road test is carried out.
机译:考虑到活跃的车辆内部道路噪声控制系统中传统时域FIL-TERED-X最小均线(FXLMS)算法的高度依赖性。本文建立了基于归一化过滤器-X最小均方(NFXLMS)算法的多通道有源道路噪声控制(ARNC)系统,提高ARNC系统对操作条件的适应性。首先,通过理论推导建立了基于NFXLMS算法的多通道ARNC系统的数学模型。此外,算法的计算复杂性与传统的时域FXLMS算法导出并进行比较。其次,基于FXLMS和NFXLMS算法,分别建立了由4个参考信号,2个扬声器和1个麦克风组成的仿真模型。通过离线仿真比较了两个系统的条件适应性和降噪效果。最后,建立了基于Micranutobox的两个系统的硬件循环(HIL)测试平台,并进行了在道路测试。

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