The University of Southampton
University of Southampton Institutional Repository

A parallel analog and digital adaptive feedforward controller for active noise control

A parallel analog and digital adaptive feedforward controller for active noise control
A parallel analog and digital adaptive feedforward controller for active noise control

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-impulse-response filter. It is shown that both filters can be adapted using the normalized filtered-reference LMS algorithm but with different secondary path 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.

Active noise control, Padé approximation, adaptive control, hybrid control
2329-9304
1100-1108
Vered, Yoav
c13938de-457b-4e25-b57b-7471c7bc832a
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Vered, Yoav
c13938de-457b-4e25-b57b-7471c7bc832a
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567

Vered, Yoav and Elliott, Stephen (2024) A parallel analog and digital adaptive feedforward controller for active noise control. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 1100-1108. (doi:10.1109/TASLP.2024.3350882).

Record type: Article

Abstract

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-impulse-response filter. It is shown that both filters can be adapted using the normalized filtered-reference LMS algorithm but with different secondary path 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.

Text
Early access A_Parallel_Analog_and_Digital_Adaptive_Feedforward_Controller_for_Active_Noise_Control - Accepted Manuscript
Download (5MB)

More information

e-pub ahead of print date: 8 January 2024
Published date: 8 January 2024
Additional Information: Publisher Copyright: © 2014 IEEE.
Keywords: Active noise control, Padé approximation, adaptive control, hybrid control

Identifiers

Local EPrints ID: 487335
URI: http://eprints.soton.ac.uk/id/eprint/487335
ISSN: 2329-9304
PURE UUID: 3d25e888-96e2-41e8-a21b-bc774d1f23a3
ORCID for Yoav Vered: ORCID iD orcid.org/0000-0002-5270-5075

Catalogue record

Date deposited: 19 Feb 2024 20:23
Last modified: 30 Apr 2024 16:41

Export record

Altmetrics

Contributors

Author: Yoav Vered ORCID iD
Author: Stephen Elliott

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×