scholarly journals Adjustable Structure for Feedback Active Headrest System Using the Virtual Microphone Method

2021 ◽  
Vol 11 (11) ◽  
pp. 5033
Author(s):  
Zeqiang Zhang ◽  
Ming Wu ◽  
Chen Gong ◽  
Lan Yin ◽  
Jun Yang

Active headrest is an essential application for active noise control, capable of reducing low-frequency disturbance around an error microphone. However, in most cases, attaching microphones to ears is not feasible and noise attenuation performance is vulnerable to plant response variations. This paper presents a multichannel feedback active headrest system combined with the virtual microphone method and a manually adjustable headrest structure for users. Applying the virtual microphone method can transfer the attenuation target from the distant microphone to the ear. The proposed adjustable headrest structure allows for secondary loudspeakers and the corresponding microphone to be moved as a single unit while maintaining the relative distances between the secondary loudspeakers and microphones constant to ensure that the related plant responses are consistent. Experiments were conducted to validate the performance against multi-sinusoidal machine noise. The results demonstrate the benefits of the proposed structure over conventional structures. Additionally, the applicability of the three commonly used virtual sensing methods (the auxiliary filter method, remote microphone method, and virtual microphone method) in various practical conditions was verified when using the proposed adjustable headrest structure. Furthermore, 10 volunteers were involved in the evaluation, and the robustness of the proposed system for various users was confirmed.

Algorithms ◽  
2008 ◽  
Vol 1 (2) ◽  
pp. 69-99 ◽  
Author(s):  
Danielle Moreau ◽  
Ben Cazzolato ◽  
Anthony Zander ◽  
Cornelis Petersen

2009 ◽  
Vol 125 (6) ◽  
pp. 3742-3755 ◽  
Author(s):  
D. J. Moreau ◽  
J. Ghan ◽  
B. S. Cazzolato ◽  
A. C. Zander

Author(s):  
Oscar R. Flotte-Hernández ◽  
Alejandro Pineda-Olivares ◽  
Graciano Dieck-Assad ◽  
Alfonso Avila-Ortega ◽  
Sergio O. Martínez-Chapa ◽  
...  

2002 ◽  
Vol 112 (5) ◽  
pp. 2428-2428
Author(s):  
Rosely V. Campos ◽  
Rodrigo C. Ivo ◽  
Eduardo B. Medeiros

2011 ◽  
Vol 2011.21 (0) ◽  
pp. 75-78
Author(s):  
Xun WANG ◽  
Shinya KIJIMOTO ◽  
Koichi MATSUDA ◽  
Yosuke KOBA

2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Govind Kannan ◽  
Issa M. S. Panahi ◽  
Richard W. Briggs

A large class of acoustic noise sources has an underlying periodic process that generates a periodic noise component, and thus their acoustic noise can in general be modeled as the sum of a periodic signal and a randomly fluctuating signal (usually a broadband background noise). Active control of periodic noise (i.e., for a mixture of sinusoids) is more effective than that of random noise. For mixtures of sinusoids in a background broadband random noise, conventional FXLMS-based single filter method does not reach the maximum achievable Noise Attenuation Level (NALmax⁡). In this paper, an alternative approach is taken and the idea of a parallel active noise control (ANC) architecture for cancelling mixtures of periodic and random signals is presented. The proposed ANC system separates the noise into periodic and random components and generates corresponding antinoises via separate noise cancelling filters, and tends to reach NALmax⁡ consistently. The derivation of NALmax⁡ is presented. Both the separation and noise cancellation are based on adaptive filtering. Experimental results verify the analytical development by showing superior performance of the proposed method, over the single-filter approach, for several cases of sinusoids in white noise.


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