Modified phase-scheduled-command FxLMS algorithm for active sound profiling
Modified phase-scheduled-command FxLMS algorithm for active sound profiling
Active sound profiling, or active noise equalization strategies have been proposed to achieve spectral shaping of a primary disturbance signal. The control algorithms proposed to achieve such spectral shaping have either suffered from poor robustness to plant modelling uncertainties or required high levels of control effort. To improve the robustness of active sound profiling to uncertainties in the plant model, whilst avoiding increased control effort, a modified phase-scheduledcommand filtered-x least-mean-square (FxLMS) algorithm is proposed in this paper. The new algorithm provides improved stability, whilst requiring the minimum control effort. This improvement is achieved by replacing the plant model with an intelligent adaptive-hysteresis switching mechanism to allow the necessary estimation of the disturbance signal phase. The improved performance and robustness of the proposed algorithm is demonstrated through a series of simulations using measured acoustic responses.
1799 - 1808
Patel, Vinal
2d968af6-bba7-4f52-94a3-d849451b9fb3
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc
George, Nithin
bdf76fb4-4b8b-45b8-90eb-2083367b5542
September 2017
Patel, Vinal
2d968af6-bba7-4f52-94a3-d849451b9fb3
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc
George, Nithin
bdf76fb4-4b8b-45b8-90eb-2083367b5542
Patel, Vinal, Cheer, Jordan and George, Nithin
(2017)
Modified phase-scheduled-command FxLMS algorithm for active sound profiling.
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25 (9), .
(doi:10.1109/TASLP.2017.2717499).
Abstract
Active sound profiling, or active noise equalization strategies have been proposed to achieve spectral shaping of a primary disturbance signal. The control algorithms proposed to achieve such spectral shaping have either suffered from poor robustness to plant modelling uncertainties or required high levels of control effort. To improve the robustness of active sound profiling to uncertainties in the plant model, whilst avoiding increased control effort, a modified phase-scheduledcommand filtered-x least-mean-square (FxLMS) algorithm is proposed in this paper. The new algorithm provides improved stability, whilst requiring the minimum control effort. This improvement is achieved by replacing the plant model with an intelligent adaptive-hysteresis switching mechanism to allow the necessary estimation of the disturbance signal phase. The improved performance and robustness of the proposed algorithm is demonstrated through a series of simulations using measured acoustic responses.
Text
Modified Phase-Scheduled-Command FxLMS Algorithm for Active Sound Profiling
- Accepted Manuscript
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Accepted/In Press date: 15 June 2017
e-pub ahead of print date: 20 June 2017
Published date: September 2017
Organisations:
Signal Processing & Control Grp
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Local EPrints ID: 411311
URI: http://eprints.soton.ac.uk/id/eprint/411311
PURE UUID: d3267691-6235-4cfa-9512-ccc0c60742a5
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Date deposited: 19 Jun 2017 16:30
Last modified: 16 Mar 2024 05:27
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Author:
Vinal Patel
Author:
Nithin George
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