Active noise control: a tutorial review

@inproceedings{Kuo1999ActiveNC,
  title={Active noise control: a tutorial review},
  author={Sen Maw Kuo and Dennis R. Morgan},
  year={1999}
}
Active noise control (ANC) is achieved by introducing a cancelling "antinoise" wave through an appropriate array of secondary sources. [...] Key Method In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases.Expand
Review of DSP algorithms for active noise control
  • S. Kuo, D. Morgan
  • Engineering
    Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162)
  • 2000
Active noise control (ANC) has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. In this paper, digital signal processing (DSP) algorithms for
On Adaptation of Cancelation Path Modeling Filter in Single-Channel Feedback-Type Adaptive Active Noise Control Systems
TLDR
The key objective here is to improve upon the slow convergence of CPMF, which in turn improves the noise reduction performance as demonstrated by numerical results presented in this paper.
Narrowband feedback active noise control systems with secondary path modeling using gain-controlled additive random noise
  • M. Akhtar
  • Computer Science
    Digit. Signal Process.
  • 2021
TLDR
The simulation results demonstrate that the proposed method (equipped with the proposed modifications) outperforms the previous method and yet with a negligible increase in the computational complexity.
Advanced adaptive mechanisms for active noise control: A technical comparison
TLDR
This review paper has discussed and compared the previous work done on the various algorithms related to ANC, the merits, demerits and practical effectiveness of all the algorithms, and drawn conclusions with the help of a tabular comparison of the algorithms.
An improved subband sigmoid function based feedback Active Noise Cancellation
TLDR
Simulations taking MATLAB as a platform has been carried out to show that the proposed enhanced adaptive algorithm for feedback ANC systems gives a better performance than the conventional feed-forward FXLMS algorithm.
A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment
TLDR
The proposed HNANC system gives an improved overall ANC performance over that of existing counterparts, and the number of reference signal filtering blocks in the feedforward NANC controller is reduced.
New feedback active noise control system with improved performance
  • Tongwei Wang, W. Gan, S. Kuo
  • Computer Science
    2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
TLDR
Compared with the conventional IMC feedback ANC system, the proposed system converges faster, has a better tracking capability when the frequencies of the primary noise vary, and is also less sensitive to impulsive noise.
Design and analysis of an improved hybrid active noise control system
Abstract Countering mutual coupling in the inherent structures and the non-availability of proper reference or error signals for the operation of adaptive filters has been a challenge in the design
A MULTI-CHANNEL ALL-PASS FILTERED X LEAST MEAN SQUARE ALGORITHM FOR NARROWBAND ACTIVE NOISE CONTROL WITHOUT SECONDARY PATH IDENTIFICATION
Now a day acoustics noise becomes the most noticeable problem in this new era. To attenuate acoustic primary noise or disturbances, Active noise control (ANC) is the most popular and most used method
All-pass filtered x least mean square algorithm for narrowband active noise control
TLDR
A narrowband feedforward ANC system in systems like air intake duct system is concerned about and an novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path.
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References

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This paper describes an adaptive active noise cancellation (ANC) system that is based on an output-whitening approach and is an extension of the work of Graupe and Efron on single point adaptive ANC.
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For practicing engineers, researchers, and advanced students in signal processing, Active Noise Control Systems: Algorithms and DSP Implementations will serve as a comprehensive, state-of-the-art text/reference on this important and rapidly changing area of signal processing.
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An algorithm for multichannel adaptive IIR (infinite impulse response) filtering is presented and applied to the active control of broadband random noise in a small reverberant room, and it is found that for the present application FIR filters are sufficient when the primary noise source is a loudspeaker.
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TLDR
This paper analyzes the passband amplification condition and develops an algorithm that consists of two interconnected adaptive filters using the same internally generated reference signal that reduces the disturbance reduction for periodic ANC while using a relatively large step size to improve the convergence rate.
Active adaptive sound control in a duct: A computer simulation
Most active sound cancellation systems reported in the literature use open‐loop control, depend on near‐zero phase delay in control system elements, and require constant acoustic signal transit time
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The convergence behavior of an adaptive feedforward active control system is studied and it is shown that some modes not only converge slowly but also require an excessive control effort for complete convergence.
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TLDR
It is shown that the recursive least mean square (RLMS) algorithm of Feintuch possesses significant advantages for use in a practical active attentuation system.
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An analysis of this technique is extended to the case when a linear filter appears in the auxiliary signal path and a general solution to this problem is obtained.
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