Effectiveness of headrest ANC system with virtual sensing technique for factory noise

In this paper, we examine the effectiveness of headrest active noise control (ANC) system with the virtual sensing technique for factory noise. In recent years, the development of various industrial devices has caused acoustic noise problems related to factory machines. Although the noise canceling headphones and earphones can reduce factory noise, but they prevent verbal communications and give uncomfortable feeling, so headrest ANC systems becomes one of candidates for this kind of situations. However, the headrest ANC system has a problem that the zone of quiet (ZoQ) cannot be formed around desired locations (e. g. ears) because the ZoQ is generally formed around error microphones located into the headrest which are far from the desired locations. Therefore, we have developed a headrest ANC system with virtual sensing technique. In this paper, we investigate the effectiveness of the proposed headrest ANC system through real world experiments. As a result, it is found that the proposed headrest ANC system can reduce unwanted factory noise more than 30 dB at the desired locations compared with the conventional system (without virtual sensing technique).

[1]  Boaz Rafaely,et al.  H2/H∞ active control of sound in a headrest: design and implementation , 1999, IEEE Trans. Control. Syst. Technol..

[2]  Cheng-Yuan Chang,et al.  Active noise control for headrests , 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[3]  Sen M. Kuo,et al.  Active Noise Control Systems: Algorithms and DSP Implementations , 1996 .

[4]  M. Pawełczyk,et al.  Multi-channel virtual-microphone feedback minimum-variance active noise control system , 2009 .

[5]  Stephen J Elliott,et al.  An active headrest for personal audio. , 2006, The Journal of the Acoustical Society of America.

[6]  Jie Wang,et al.  Active Headrest with Robust Performance against Head Movement , 2015 .

[7]  Marek Pawelczyk,et al.  Multiple input–multiple output adaptive feedback control strategies for the active headrest system: design and real‐time implementation , 2003 .

[8]  Jordan Cheer,et al.  Combining the remote microphone technique with head-tracking for local active sound control. , 2017, The Journal of the Acoustical Society of America.

[9]  Debi Prasad Das,et al.  Performance evaluation of an active headrest using the remote microphone technique , 2011 .

[10]  Yoshinobu Kajikawa,et al.  Active Noise Control System for Reducing MR Noise , 2011, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[11]  Marek Pawelczyk Adaptive noise control algorithms for active headrest system , 2004 .

[12]  Woon-Seng Gan,et al.  Recent advances on active noise control: open issues and innovative applications , 2012, APSIPA Transactions on Signal and Information Processing.

[13]  Yoshinobu Kajikawa,et al.  Head-mounted active noise control system with virtual sensing technique , 2015 .

[14]  Philip A. Nelson,et al.  Active Control of Sound , 1992 .

[15]  Chuang Shi,et al.  Binaural active noise control using parametric array loudspeakers , 2017 .

[16]  Shoma Edamoto,et al.  Virtual sensing technique for feedforward active noise control , 2016 .

[17]  Stephen J. Elliott,et al.  GENERATION OF ZONES OF QUIET USING A VIRTUAL MICROPHONE ARRANGEMENT , 1997 .

[18]  Seokhoon Ryu,et al.  Characteristics of Relocated Quiet Zones Using Virtual Microphone Algorithm in an Active Headrest System , 2016, J. Sensors.

[19]  Stephen J. Elliott,et al.  Signal Processing for Active Control , 2000 .

[20]  Ben Cazzolato,et al.  A Review of Virtual Sensing Algorithms for Active Noise Control , 2008, Algorithms.

[21]  B Rafaely,et al.  Broadband performance of an active headrest. , 1999, The Journal of the Acoustical Society of America.

[22]  S.J. Elliott,et al.  Active noise control , 1993, IEEE Signal Processing Magazine.

[23]  M. Pawelczyk Control Algorithms for Colating Zones of Quiet in the Active Headrest System , 2002 .