TY - JOUR
T1 - A two adaptive filters-based method for reducing effects of acoustic feedback in single-channel feedforward ANC systems
AU - Tufail, Muhammad
AU - Ahmed, Shakeel
AU - Rehan, Muhammad
AU - Akhtar, Muhammad Tahir
N1 - Funding Information:
Authors declare that there is no conflict of interests. Muhammad Tufail received the M.Sc. degree in Electronics from University of Peshawar, Pakistan in 1997, the M.Sc. degree in Systems Engineering from Quaid-i-Azam University, Islamabad, Pakistan in 1999, and the Ph.D. degree in Electronic Engineering from Tohoku University, Sendai, Japan in 2006. Currently, he is working as Professor in the Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan. His research interests include adaptive and array signal processing, consensus control, and stability analysis of digital filters. Shakeel Ahmed received the B.S. degree in Electrical Engineering from NWFP University of Engineering and Technology Peshawar, Pakistan in 2005, MS degree in Systems Engineering from Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan, under a fellowship programme in 2007. He completed his PhD degree, under Japanese government (MEXT) scholarship, from The University of Electro-Communications, Tokyo, Japan in 2015. He is currently working as an Assistant Professor in Department of Electrical Engineering at Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan. His research interests include adaptive signal processing for active noise control systems. Muhammad Rehan received his M.Sc. Degree in Electronics from Quaid-e-Azam University (QAU), Islamabad, and M.S. Degree in Systems Engineering from Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad. He received his Ph.D. degree with distinction in 2012 from Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea. He is currently working as Associate Professor in Department of Electrical Engineering, PIEAS. He received Research Productivity Award for the years 2011-2012 and 2015-2016 by Pakistan Council of Science and Technology. Dr. Rehan has been selected as Young Associate in the discipline of Engineering by Pakistan Academy of Sciences in a nationwide competition. Dr. Rehan has been selected for the Best Young Research Scholar Award (Pure Engineering) in 5'th Outstanding Research Awards by HEC in a nationwide competition. His research interests include robust control, nonlinear, adaptive control, anti-windup design, modeling and control of bio-systems, and control of multi-agents. Muhammad Tahir Akhtar received his PhD degree in Electronic Engineering from the Tohoku University, Sendai, Japan, in 2004, MSc in Systems Engineering from the Quaid-i-Azam University, Islamabad, Pakistan in 1999, and BSc Electrical (Electronics and Communication) Engineering from the University of Engineering & Technology, Taxila, Pakistan in 1997. He is currently working as an Associate Professor at the School of Engineering, Nazarbayev University, Nur-Sultan City, Kazakhstan. From 2014 to 2017, he was an Associate Professor at the COMSATS University Islamabad, Pakistan. From 2008 to 2014, he was an Assistant Professor at the University of Electro-Communications, Tokyo, Japan, and a Special Visiting Researcher at the Tokyo Institute of Technology, Tokyo, Japan. He was a visiting researcher at Institute of Sound and Vibration Research (ISVR), University of Southampton, UK (Dec. 2008 – Feb. 2009), and at Institute for Neural Computations (INC), University of California San Diego (Nov. 2010 – Mar. 2011). Prior to that, he was a COE postdoctoral fellow at Tohoku University, Sendai Japan (2004-2005), and has worked as an Assistant Professor at the United Arab Emirates University, UAE (2006-2008). His research interests include adaptive signal processing, active noise control, blind source separation, and biomedical signal processing. Dr. Akhtar has published about 95 papers in the peer-reviewed international journals and conference proceedings. He won Best Student Paper at the IEEE 2004 Midwest Symposium on Circuits and Systems, Hiroshima, Japan, and student paper award (with Marko Kanadi) at 2010 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing. He is on the editorial board of Advances in Mechanical Engineering, and has served (2011-2013) as a co-editor for the newsletter of Asia-Pacific Signal & Information Processing Association (APSIPA). Currently he is member IEEE Signal Processing Society, IEEE Industrial Electronic Society, and he is a Senior Member IEEE.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/7
Y1 - 2019/7
N2 - In most of the existing approaches for neutralizing the effects of acoustic feedback in feed-forward active noise control (FF-ANC) systems, three adaptive filters have been employed. Besides the noise control and feedback neutralization filters (FBNF), a third disturbance removal filter has been exploited to obtain suitable signals for (apposite) adaptation of the other two (adaptive filters). In this paper, we develop an effective acoustic feedback neutralization method which does not require any supplementary third adaptive filter. The proposed method incorporates a probe signal with a time-varying gain and a novel variable step-size strategy for adaptation of the FBNF. During the transient state, the FBNF is excited by a large variance probe signal and a large valued step-size. This enhances the convergence rate of the FBNF. As the FF-ANC system converges, the level of probe noise is decreased to achieve good residual error attenuation performance (at steady-state). Furthermore, the step-size is also reduced to a small value to improve the steady-state performance of the acoustic FBNF. Simulations results show that the proposed two adaptive filters-based method outperforms the existing methods for broad-band reference noise sources and yields better steady-state residual error attenuation performance for narrow-band noise signals.
AB - In most of the existing approaches for neutralizing the effects of acoustic feedback in feed-forward active noise control (FF-ANC) systems, three adaptive filters have been employed. Besides the noise control and feedback neutralization filters (FBNF), a third disturbance removal filter has been exploited to obtain suitable signals for (apposite) adaptation of the other two (adaptive filters). In this paper, we develop an effective acoustic feedback neutralization method which does not require any supplementary third adaptive filter. The proposed method incorporates a probe signal with a time-varying gain and a novel variable step-size strategy for adaptation of the FBNF. During the transient state, the FBNF is excited by a large variance probe signal and a large valued step-size. This enhances the convergence rate of the FBNF. As the FF-ANC system converges, the level of probe noise is decreased to achieve good residual error attenuation performance (at steady-state). Furthermore, the step-size is also reduced to a small value to improve the steady-state performance of the acoustic FBNF. Simulations results show that the proposed two adaptive filters-based method outperforms the existing methods for broad-band reference noise sources and yields better steady-state residual error attenuation performance for narrow-band noise signals.
KW - Acoustic feedback neutralization
KW - Active noise control
KW - Gain scheduling
KW - Probe signal
KW - Variable step-size
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U2 - 10.1016/j.dsp.2019.03.016
DO - 10.1016/j.dsp.2019.03.016
M3 - Article
AN - SCOPUS:85064271002
SN - 1051-2004
VL - 90
SP - 18
EP - 27
JO - Digital Signal Processing: A Review Journal
JF - Digital Signal Processing: A Review Journal
ER -