物联网概念中的主动噪声控制

R. Galamboš, L. Sujbert
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引用次数: 6

摘要

本文介绍了一种用于主动噪声控制(ANC)的“概念验证”系统,其中来自参考麦克风的音频数据通过已有的以太网传输。该系统借助多通道DSP卡实现了噪声的主动控制。噪声控制算法是滤波误差最小均方算法(LMS)的一种变体,该算法已经在不同的环境中证明了其有效性。从参考麦克风到DSP卡的音频数据在ADSP-BF537 Ez-Lite Kit的帮助下进行数字化,并通过以太网传输到对应的ADSP-BF537 Ez-Lite Kit卡,该卡将其转换回模拟信号,以便能够馈送到多通道DSP卡。本文重点介绍了以太网在音频传输中的应用,指出了由于以太网的特性所带来的问题,以及以太网的潜力。测量结果说明了系统的工作原理和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active noise control in the concept of IoT
This paper introduces a “proof of concept” system for Active Noise Control (ANC) where the audio data from the reference microphones are travelling through the already existing Ethernet network. The system realizes the active noise control with the help of a multi channel DSP card. The noise control algorithm is the Filtered Error Least Mean Square (ELMS) - an LMS variant -, which has already proven its efficiency previously in different environments. The audio data from the reference microphone to the DSP card are digitalised with the help of an ADSP-BF537 Ez-Lite Kit, and transmitted over Ethernet to a counterpart ADSP-BF537 Ez-Lite Kit card, which converts it back to an analogue signal to be able to be fed into the multi channel DSP card. The article highlights the usage of Ethernet network for audio transmission, and shows the problems that are caused by the properties of such medium, as well as the potential that lies in it. The working of the system and its efficiency is illustrated by measurement results.
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