A computationally efficient feedforward time–frequency-domain hybrid active sound profiling algorithm for vehicle interior noise

Chen, Wan; Xie, Liping; Guo, Jun; Liu, Zhien; Li, Xiaolong; Lu, Chihua

doi:10.1016/j.ymssp.2023.110279

Cited by 11 publications

(2 citation statements)

References 40 publications

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“…In the feedforward active control algorithm, the filtered-x least mean square algorithm has wide applications because of its simple structure, easy realization, and good noise reduction effect [9][10][11]. When primary noise cannot be acquired, but the expected signal and error signal can be obtained simultaneously through the error sensor, the feedback system is used in active noise control [12,13]. In addition, this method has been successfully applied in some engineering projects, such as active noise reduction earplugs [14,15] and active noise reduction headrests [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Simplified Frequency-Domain Feedback Active Noise Control Algorithm

Gao,

Yu,

Gao

2024

Applied Sciences

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When the adaptive filter length is increased, the calculation complexity increases rapidly because the relationship between the calculation and the adaptive filter length N contains a power function with no secondary path identification algorithm. Under the basic premise of unreduced noise reduction, herein, a simplified frequency-domain feedback active noise control algorithm is proposed. To reduce the computation complexity, the total delay is adopted as the estimated secondary path; the filtered reference signal is produced in the frequency domain by using multiplication to replace convolution calculation in the time domain and then updating the adaptive filter coefficients in the frequency domain. Therefore, the computational complexity has a logarithmic function with the increased adaptive filter length in the proposed algorithm. If the adaptive filter length is 512, the existing WSMANC algorithm’s calculation is 271,360 real number multiplications, while that of the proposed algorithm is only 38,912 real number multiplications. To verify the proposed algorithm’s stability, convergence speed, and noise reduction, the single-frequency noise, narrowband white noise, and narrowband pink noise, respectively, are used as the primary noise types in the simulations. The results show that (1) the proposed SFDFBANC algorithm can obtain similar noise reduction performance to existing algorithm, (2) the convergence rate is faster than existing algorithm, and (3) if the adaptive filter length is more than 64, the proposed algorithm exhibits a lower computational complexity.

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Section: Introductionmentioning

confidence: 99%

A Simplified Frequency-Domain Feedback Active Noise Control Algorithm

Gao,

Yu,

Gao

2024

Applied Sciences

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“…Hence, the local active noise control technology represented by active noise reduction headrests is flourishing. It has also found applications in scenarios such as automotive road noise control and aircraft cabin noise control, and related research is constantly being deepened [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Matching of Reconstruction and Anti-Aliasing Filters in Adaptive Active Noise Control

Zhang,

Wu,

Wang

et al. 2024

Applied Sciences

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Constrained by the computing power, adaptive active noise control systems often have a low sampling rate. Therefore, reconstruction filters and anti-aliasing filters with fixed parameters are generally adopted to eliminate the mirror noise and aliasing noise, respectively; however, they may boost the group delay of the system. A dynamic matching method based on dual sampling rates is proposed to dynamically adjust the parameters of the reconstruction and anti-aliasing filters, according to the characteristics of the primary sound source, for a compromise between high-frequency noise and group delay. In digital high-sampling-rate regions, data that include high-frequency information are analyzed regularly, following which the parameters of the reconstruction filters and those of the anti-aliasing filters are dynamically matched. In digital low-sampling-rate regions, the estimation of the secondary path transfer function is updated. The results of laboratory experiments show that the proposed method not only can suppress the mirror and aliasing noise for primary sound sources with different spectra, but can also effectively reduce the group delay and improve the noise reduction performance of a system.

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