Robust feedback controller combined with the remote microphone method for broadband active noise control in headrest

Zhang, Zeqiang; Wu, Ming; Yin, Lan; Gong, Chen; Wang, Jiajie; Zhou, Shuang; Jiang, Yang

doi:10.1016/j.apacoust.2022.108815

Cited by 15 publications

(1 citation statement)

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“…Numerous methods and algorithms have been proposed to reduce the controller's latency [17]. These approaches can be divided into ones that use a single, high, sample rate [18], those that use a decimation [19], and those that use a multirate approach with digital decimation and interpolation filters [17] in addition to the analog anti-aliasing and reconstruction filters. However, even when a fast FPGA is used with these approaches, the latency does not vanish completely.…”

Section: Introductionmentioning

confidence: 99%

A Parallel Analog and Digital Adaptive Feedforward Controller for Active Noise Control

Vered,

Elliott

2024

IEEE/ACM Trans. Audio Speech Lang. Process.

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Digital adaptive controllers are widely used for feedforward active noise control, especially in headphones. In such applications, the secondary path delay, including the sampling and reconstruction effects, must be shorter than the primary path delay to maintain good broadband performance. A mixed analog and digital adaptive feedforward controller is developed to eliminate the added delay of the sampling and reconstruction. The analog controller is based on a state-filtered adaptive linear combiner, while the digital one uses an adaptive finite-impulseresponse filter. It is shown that both filters can be adapted using the normalized filtered-reference LMS algorithm but with different secondary paths' models. A method to design the analog state-filter based on Padé's approximation is described. The performance of the proposed controller with two analog states, the direct feedthrough and a 0.3 milliseconds delay, is assessed and compared to the separate analog or digital controllers in a controlled environment. The results highlight that adding the analog delay improves the digital controller performance by about 5 dB in this application, regardless of the primary noise direction.

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