Abstract
This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 |
| Publication status | Published - Dec 1 2006 |
| Event | IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan Duration: Apr 22 2006 → Apr 23 2006 |
Conference
| Conference | IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 |
|---|---|
| Country | Pakistan |
| City | Islamabad |
| Period | 4/22/06 → 4/23/06 |
Fingerprint
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
A new method for active noise control systems with online acoustic-feedback-path modeling. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki.
IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006. 1703214.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A new method for active noise control systems with online acoustic-feedback-path modeling
AU - Akhtar, Muhammad Tahir
AU - Abe, Masahide
AU - Kawamata, Masayuki
PY - 2006/12/1
Y1 - 2006/12/1
N2 - This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.
AB - This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.
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UR - http://www.scopus.com/inward/citedby.url?scp=40849147322&partnerID=8YFLogxK
M3 - Conference contribution
SN - 1424404568
SN - 9781424404568
BT - IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
ER -