远程传声技术（Remote Microphone Technique，RMT）是一种经典的虚拟麦克风主动噪声控制技术，该技术能扩大对噪声的控制范围，在车内主动噪声控制(Active noise Control，ANC)中拥有很大的研究潜力。但其较大的运算量使得处理器的成本提高，一定程度上限制其在量产车上的应用。本文将自适应陷波算法引入到RMT当中，提出融合自适应陷波算法的远程传声技术，与传统的远程传声技术相比有效地降低了运算量。用多频率混合噪声作为初级声源进行仿真实验，对比以上两种远程传声技术的降噪性能和算法算力，结果表明，本文所提出的远程传声技术降噪能力与传统技术相当，程序运行时间却小于传统的远程传声技术。将本文提出的远程传声技术应用到ANC系统台架实验中，结果表明，在目标降噪区域远离物理麦克风的条件下，系统依然能快速收敛并实现良好的降噪效果。
Abstract
Remote Microphone Technique (RMT) is a classic virtual microphone active noise control technology. This technology can expand the range of noise control, and has great research potential in Active Noise Control (ANC) in car. However, its large computational load increases the cost of the processor, which limits its application in mass-produced vehicles to a certain extent. This paper introduces the adaptive notch algorithm into RMT, and proposes a remote microphone technique combined with the adaptive notch algorithm, which effectively reduces the amount of calculation compared with the traditional remote microphone technique. Using multi-frequency mixed noise as the primary sound source for simulation experiments, comparing the noise reduction performance and algorithm calculation power of the above two remote microphone techniques. The results show that the noise reduction ability of the remote microphone technique proposed in this article is equivalent to the traditional technology, and the running time is shorter than the traditional one. The remote microphone technique proposed in this paper is applied to the ANC system bench experiment. The results show that the system can still quickly converge and achieve a good noise reduction effect when the target noise reduction area is far away from the physical microphone.
关键词
远程传声技术 /
虚拟麦克风 /
主动噪声控制 /
自适应陷波算法
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Key words
remote microphone technique /
virtual microphone /
active noise control /
adaptive notch algorithm
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