A hybrid multi-reference subband control strategy for active noise control headphones

Patel, Vinal; Cheer, Jordan

doi:10.1016/j.apacoust.2022.108932

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…For reducing the computational complexity due to microphone array processing, we will investigate the head-mounted ANC system with low computational complexity based on [26]. Moreover, the subband ANC system is effective to reduce the computational complexity, for example, ANC headphone proposed in [27]. Hence, we will try to adopt the subband adaptive digital filter into the proposed ANC system.…”

Section: Discussionmentioning

confidence: 99%

Head-Mounted Multi-Channel Feedforward Active Noise Control System for Reducing Noise Arriving From Various Directions

2023

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A head-mounted active noise control (ANC) system based on the single-channel (1 × 1 × 1) feedforward control has been studied as a noise reduction method in complicated noise environments such as factories in which various machines are located that generate unwanted noises. However, it is difficult to reduce the noise arriving from various directions because the causality constraint cannot be satisfied.To solve this problem, we developed a head-mounted ANC system based on the multi-channel (2 × 1 × 1) feedforward control. This ANC system has two reference microphones that satisfy the causality constraint. Therefore, the proposed head-mounted ANC system achieves the expansion of noise reducible range of 0 − 100 • compared to that of the conventional head-mounted ANC with the range of 0 − 60 • . In this paper, we examine the effectiveness of the newly developed head-mounted ANC system. In the experiments, we evaluate the effectiveness of placing two reference microphones on noise reduction performance in the case of various arrival direction of the unwanted noise. Experimental results demonstrate that the proposed system increases the noise reducible range and improves the noise reduction performance for two noise sources. In addition, we theoretically prove the effectiveness of the proposed system.INDEX TERMS Multi-channel ANC system, feedforward control, FPGA, causality constraint, headmounted ANC system.

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Section: Discussionmentioning

confidence: 99%

Head-Mounted Multi-Channel Feedforward Active Noise Control System for Reducing Noise Arriving From Various Directions

2023

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“…The application of active noise control systems can be divided into applications for the reduction of unwanted sound in free space [4], sound reduction in cabin spaces [5], localized noise reduction (headphones) [6] and sound reduction in one-dimensional environment (HVAC systems) [7]. The noise that occurs in cooling or ventilation duct systems (HVAC systems) has a frequency composition with pronounced low frequencies, so passive methods are often insufficiently effective.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Anachkova¹,

Pecioski²,

Domazetovska³

et al. 2023

J., mech. eng. autom., control. syst.

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The limitations of passive noise control methods impose a need for new technical solutions to solve the problem of reducing low-frequency noise, which is considered to be a dominant component of noise disturbance. In recent years, the subject of intensive research are the active noise control systems, which have aroused considerable interest and represent a promising solution to the problem of low-frequency noise control. This paper proposes a robust methodology for simplified design and analysis of an experimental active noise control system for real-time control of acoustic environment in a duct. The proposed feedback control model is based on using the LMS algorithm, combined with FxLMS algorithm for estimation and neutralization of the secondary path in the electro-acoustic system. The study shows the potential of the FPGA module and the Real-time module of cRIO from National Instruments, combined with the LabView software environment when applied in adaptive system for active noise control. The reliability and validity of the developed active noise control system is tested for a frequency range of 100 to 1000 [Hz], by measuring the amplitude-time domain in [V] and sound level in [dB]. The comparison of the experimental results shows great efficiency of the system at lower frequency range from 200 to 400 [Hz], where a maximum reduction in sound level achieved at a frequency of 200 [Hz] is 14 [dB] or 17 [%]. A significant sound level reduction is also achieved at both 300 [Hz] and 400 [Hz] which is 12 % or 10 [dB] in both cases. Given the analysis of the challenges and opportunities of the developed active noise control system, recommendations for advancements and future work are proposed.

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Selective fixed-filter active noise control based on frequency response matching in headphones

Yin

Zhang

et al. 2023

Applied Acoustics

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A hybrid multi-reference subband control strategy for active noise control headphones

Cited by 7 publications

References 22 publications

Head-Mounted Multi-Channel Feedforward Active Noise Control System for Reducing Noise Arriving From Various Directions

Head-Mounted Multi-Channel Feedforward Active Noise Control System for Reducing Noise Arriving From Various Directions

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Selective fixed-filter active noise control based on frequency response matching in headphones

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