A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue

Shi, Dong; Lam, Bhan; Gan, Woon‐Seng

doi:10.1109/icassp.2018.8461458

Cited by 20 publications

(19 citation statements)

References 13 publications

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“…However, control filter coefficients derived from one bandwidth of WGN was non-optimal as demonstrated in the aircraft fly-by noise scenario. As it appears, selecting from a database of fixed-filters optimised for specific noise features -similar to noise cancelling headphones -seems to be the most practical way forward [23][24][25][26] . The methods to pre-train, select, and even switch between these fixed filters should thus be developed with low computational complexity to adhere to the causality constraints 21 , which is an ongoing area of research.…”

Section: Discussionmentioning

confidence: 99%

Active control of broadband sound through the open aperture of a full-sized domestic window

Lam

Shi

Gan

et al. 2020

Sci Rep

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Shutting the window is usually the last resort in mitigating environmental noise, at the expense of natural ventilation. We describe an active sound control system fitted onto the opening of the domestic window that attenuates the incident sound, achieving a global reduction in the room interior while maintaining natural ventilation. the incident sound is actively attenuated by an array of control modules (a small loudspeaker) distributed optimally across the aperture. A single reference microphone provides advance information for the controller to compute the anti-noise signal input to the loudspeakers in real-time. A numerical analysis revealed that the maximum active attenuation potential outperforms the perfect acoustic insulation provided by a fully shut single-glazed window in ideal conditions. to determine the real-world performance of such an active control system, an experimental system is realized in the aperture of a full-sized window installed on a mockup room. Up to 10-dB reduction in energy-averaged sound pressure level was achieved by the active control system in the presence of a recorded real-world broadband noise. However, attenuation in the low-frequency range and its maximum power output is limited by the size of the loudspeakers. Finding a sustainable and practical solution for controlling noise entering into naturally ventilated buildings is a difficult problem, especially for densely-populated, tropical, high-rise cities 1,2. Due to the impracticality of erecting noise barriers for high-rise buildings, façade elements play an especially critical role in the mitigation of urban noise. Ironically, the demand for naturally ventilated buildings is exacerbating the noise problem by providing more points of entry. As outlined by De Salis and recently updated by Tang, strategies for noise control in naturally-ventilated buildings are predominantly passive, whereby physical structures are employed to disrupt the propagation path of the noise prior to entry into the room interior 1,2. In the context of dense high-rise cities, only the plenum window strategy has shown promise 3,4 , but it has yet to overcome its inherent reduction in natural ventilation 2. Proposed noise mitigation solutions for fully-opened apertures have thus far been largely based on active control techniques 5-10. An active noise control (ANC) system is an electroacoustic system, which usually comprises of a 'reference' sensor to provide advance information of the primary noise to be attenuated, an actuator driven by an adaptive circuit to produce the anti-noise, and an 'error' sensor to provide feedback to the adaptive circuit to adapt to changes in the primary noise. Although control is most effective at source, it is usually infeasible for most scenarios. Therefore, noise propagating through air is often attenuated by sound pressure reduction at the error sensor position. In a diffused field, e.g. in a car cabin, reduction of sound pressure at a few error microphones will result in a 'local' quiet zone around each microphone u...

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Section: Discussionmentioning

confidence: 99%

Active control of broadband sound through the open aperture of a full-sized domestic window

Lam

Shi

Gan

et al. 2020

Sci Rep

Self Cite

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“…In real implementation, it is an advantage for the ANC system to gain instant control without any human intervention and remain constantly stable. With the aim of achieving immediate control with high robustness, selective active noise control (SANC) is proposed in Shi et al (2018) and Ranjan et al (2016). It is a hybrid of a fixed filter and adaptive ANC algorithm, which benefits rapid control from a fixed filter and flexibility for varying noises from an adaptive ANC algorithm.…”

Section: Introductionmentioning

confidence: 99%

Using empirical wavelet transform to speed up selective filtered active noise control system

Wen

Gan

Shi

2020

The Journal of the Acoustical Society of America

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The gradual adaptation and possibility of divergence hinder the active noise control system from being applied to a wider range of applications. Selective active noise control has been proposed to rapidly reduce noise by selecting a pre-trained control filter for different primary noise detected without an error microphone. For stationary noise, considerable noise reduction performance with a short selection period is obtained. For non-stationary noise, more restrictive requirements are imposed on instant convergence, as it leads to faster tracking and better noise reduction performance. To speed up a selective filtered active noise control system, empirical wavelet transform is introduced here to accurately and instantaneously extract the frequency information of primary noise. The boundary of the first intrinsic mode function of random noises is extracted as the instant signal feature. Primary noise is attenuated immediately by picking the optimal pre-trained control filter labeled by the nearest boundary. The storage requirement for a pre-trained control filter library is reduced. Instant control is obtained, and the instability caused by output saturation is overcome. With more concentrated energy distribution, better noise reduction performance is achieved by the proposed algorithm compared to conventional and selective active noise control algorithms. Simulation results validate these advantages of the proposed algorithm. V

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“…However, in some applications it is unrealistic and ineffective to achieve the noise attenuation at the error microphone location. Therefore, to introduce a more flexible positioning of the "zone of quiet", several time domain [1]- [2] [3] [4], frequency domain [5], [6], and wave domain [7], [8] virtual sensing methods have been suggested in the literature.…”

Section: Introductionmentioning

confidence: 99%

On FxLMS Scheme for Active Noise Control at Remote Location

Munir

Abdulla

2020

IEEE Access

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The conventional adaptive noise control algorithms create a zone of quiet at the location of an error microphone. Several virtual active noise control (ANC) algorithms have been suggested in the literature to introduce a more flexible positioning of the zone of quiet. The main objective of the proposed ANC system in our research is to minimize the noise disturbance on human hearing by considering the auditory system characteristics. We have introduced the human perception of acoustic disturbances in our ANC modeling. This paper presents a novel approach based on a psychoacoustically enabled remote ANC algorithm to minimize the acoustic noise at a zone away from the error microphone location. This approach depends on modeling the transfer function between the error microphone and the remote zone of quiet. The developed model has been implemented using an FPGA real-time module, and the performance is validated at four different remote locations. Noise-weighting filters are incorporated to observe the psychoacoustic characteristics of the proposed model. In the experimental setup, the acoustic noise at the physical and remote locations are monitored to quantify the noise reduction characteristics of the proposed algorithm. The simulation and experimental results show a noise reduction of 15-18 dBs has been achieved, which is an average improvement of 5-8 dBs over the standard ANC model.

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A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue

Cited by 20 publications

References 13 publications

Active control of broadband sound through the open aperture of a full-sized domestic window

Active control of broadband sound through the open aperture of a full-sized domestic window

Using empirical wavelet transform to speed up selective filtered active noise control system

On FxLMS Scheme for Active Noise Control at Remote Location

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