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Subband Adaptive Filtering Algorithms for Active Broadband Noise Control in Impulsive Vehicle Noise Environment
Technical Paper
2019-01-1528
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Subband adaptive filtering (SAF) techniques have been increasingly used in active noise control (ANC), especially for acoustic broadband noise signal and system models with long impulse responses. In ANC, the closed-loop delayless SAF schemes improve the convergence rate of the widely adopted conventional filtered-x LMS (FxLMS) algorithm in a more computationally efficient manner under wideband noises like colored signals or even nonstationary signals. In most real-world environment like vehicle interior cabin, however, the performance of ANC can be degraded by various outliers, including non-Gaussian impulsive signal such as transient impact acoustic response for road noise. Although several robust objective error criteria as well as threshold based LMS-type adaptive filtering algorithms have been investigated for active impulsive noise control, the computational burden would be challenging for implementation and the requirement of a priori knowledge of noises cannot be fulfilled in many cases. In this paper, various state-of-the-art SAF algorithms with decorrelating property are studied in terms of the convergence property for broadband noise control in impulsive environment since the subband decomposition might alleviate the sudden change of adaptive systems by spreading energy to multiple channels. The SAF algorithms with low-order norm of error evaluation and variable step sizes are further evaluated via simulations for the input of symmetric α-stable (SαS) impulsive noise and colored noise in the impulsive environment, respectively. Results show that the delayless SAF algorithms appear more robust than the conventional LMS-type algorithms for impulsive noises. Moreover, the utilization of band-dependent variable step sizes for the delayless SAF algorithms significantly improves the convergence rate.
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Long, G., Wang, K., and Lim, T., "Subband Adaptive Filtering Algorithms for Active Broadband Noise Control in Impulsive Vehicle Noise Environment," SAE Technical Paper 2019-01-1528, 2019, https://doi.org/10.4271/2019-01-1528.Also In
References
- Mayer , D. , Militzer , J. , and Bein , T. Integrated Solutions for Noise and Vibration Control in Vehicles SAE International Journal of Passenger Cars-Mechanical Systems 7 3 1183 1193 2014 10.4271/2014-01-2048
- Samarasinghe , P.N. , Wen , Z. , and Thushara , D.A. Recent Advances in Active Noise Control Inside Automobile Cabins: Toward Quieter Cars IEEE Signal Processing Magazine 33 6 61 73 2016
- Zafeiropoulos , N. , Zollner , J. , and Rajan , V.K. Active Road Noise Cancellation for the Improvement of Sound Quality in the Vehicle ATZ Worldwide 120 3 38 43 2018
- Jung , W. , Elliott , S.J. , and Cheer , J. Local Active Control of Road Noise inside a Vehicle Mechanical Systems and Signal Processing 121 144 157 2019
- Sun , G. , Duan , J. , Li , M. , and Lim , T.C. Numerical Modeling and Active Noise Control of Impact Road Noise inside a Vehicle Compartment Noise Control Engineering Journal 63 1 72 85 2015
- Guo , H. , Wang , H.S. , Liu , N. , Yu , R. et al. Active Interior Noise Control for Rail Vehicle Using a Variable Step-Size Median-LMS Algorithm Mechanical Systems and Signal Processing 109 15 26 2018
- Sun , G. , Li , M. , and Lim , T.C. Enhanced Filtered-x Least Mean M-Estimate Algorithm for Active Impulsive Noise Control Applied Acoustics 90 31 41 2015
- Sun , G. , Li , M. , and Lim , T.C. A Family of Threshold Based Robust Adaptive Algorithms for Active Impulsive Noise Control Applied Acoustics 97 30 36 2015
- Akhtar , M.T. and Wataru , M. Improving Robustness of Filtered-x Least Mean P-Power Algorithm for Active Attenuation of Standard Symmetric-α-Stable Impulsive Noise Applied Acoustics 72 9 688 694 2011
- Morgan , D.R. and Thi , J.C. A Delayless Subband Adaptive Filter Architecture IEEE Transactions on Signal Processing 43 8 1819 1830 1995
- Merched , R. , Diniz , P.S. , and Petraglia , M.R. A New Delayless Subband Adaptive Filter Structure IEEE Transactions on Signal Processing 47 6 1580 1591 1999
- Milani , A.A. , Panahi , I.M. , and Loizou , P.C. A New Delayless Subband Adaptive Filtering Algorithm for Active Noise Control Systems IEEE Transactions on Audio, Speech, and Language Processing 17 5 1038 1045 2009
- Lee , K. and Gan , W. On Delayless Architecture for the Normalized Subband Adaptive Filter Multimedia and Expo, 2007 IEEE International Conference on 2007 1595 598 10.1109/icme.2007.4284970
- Jeong , J.J. , Koo , K. , Choi , G.T. , and Kim , S.W. A Variable Step Size for Normalized Subband Adaptive Filters IEEE Signal Processing Letters 19 12 906 909 2012
- Yu , Y. , Zhao , H. , He , Z. , and Chen , B. A Robust Band-Dependent Variable Step Size NSAF Algorithm Against Impulsive Noises Signal Processing 119 203 208 2016
- Ni , J. and Li , F. Variable Regularisation Parameter Sign Subband Adaptive Filter Electronics Letters 46 24 1605 1607 2010
- Shin , J. , Yoo , J. , and Park , P. Variable Step-Size Sign Subband Adaptive Filter IEEE Signal Processing Letters 20 2 173 176 2013
- Yoo , J. , Shin , J. , and Park , P. A Band-Dependent Variable Step-Size Sign Subband Adaptive Filter Signal Processing 104 407 411 2014
- Ni , J. , Chen , X. , and Yang , J. Two Variants of the Sign Subband Adaptive Filter with Improved Convergence Rate Signal Processing 96 325 331 2014
- Yu , Y. , Zhao , H. , Chen , B. , and He , Z. Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness against Impulsive Interferences Circuits, Systems, and Signal Processing 35 12 4607 4619 2016
- Wen , P. , Zhang , S. , and Zhang , J. A Novel Subband Adaptive Filter Algorithm against Impulsive Noise and its Performance Analysis Signal Processing 127 282 287 2016
- Kim , J. , Kim , J. , Jeon , J.H. , and Nam , S.W. Delayless Individual-Weighting-Factors Sign Subband Adaptive Filter with Band-Dependent Variable Step-Sizes IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 7 1526 1534 2017
- Lee , K. , Gan , W. , and Kuo , S.M. Subband Adaptive Filtering: Theory and Implementation John Wiley & Sons 2009
- Huo , J. , Nordholm , S. and Zang , Z. New Weight Transform Schemes for Delayless Subband Adaptive Filtering GLOBECOM01, IEEE Global Telecommunications Conference 197 201 10.1109/glocom.2001.965106
- Kuo , S.M. and Morgan , D.R. Active Noise Control Systems: Algorithms and DSP Implementations John Wiley & Sons, Inc 1995
- Kim , J.H. , Chang , J. , and Nam , S.W. Sign Subband Adaptive Filter with ℓ 1 -Norm Minimisation-Based Variable Step-Size Electronics Letters 49 21 1325 1326 2013