Abstract
The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.
| Original language | English |
|---|---|
| Article number | 4067019 |
| Pages (from-to) | 593-600 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Audio, Speech and Language Processing |
| Volume | 15 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2007 |
| Externally published | Yes |
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Keywords
- Acoustic feedback
- Active noise control (ANC)
- FxLMS algorithm
- Online feedback path modeling
ASJC Scopus subject areas
- Acoustics and Ultrasonics
- Electrical and Electronic Engineering
Cite this
On active noise control systems with online acoustic feedback path modeling. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki.
In: IEEE Transactions on Audio, Speech and Language Processing, Vol. 15, No. 2, 4067019, 01.02.2007, p. 593-600.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - On active noise control systems with online acoustic feedback path modeling
AU - Akhtar, Muhammad Tahir
AU - Abe, Masahide
AU - Kawamata, Masayuki
PY - 2007/2/1
Y1 - 2007/2/1
N2 - The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.
AB - The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.
KW - Acoustic feedback
KW - Active noise control (ANC)
KW - FxLMS algorithm
KW - Online feedback path modeling
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U2 - 10.1109/TASL.2006.876749
DO - 10.1109/TASL.2006.876749
M3 - Article
VL - 15
SP - 593
EP - 600
JO - IEEE Transactions on Speech and Audio Processing
JF - IEEE Transactions on Speech and Audio Processing
SN - 1558-7916
IS - 2
M1 - 4067019
ER -