TY - GEN
T1 - Binormalized data-reusing filtered-reference algorithm for impulsive active noise control
AU - Akhtar, Muhammad Tahir
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The filtered-x least mean square (FxLMS) algorithm for active noise control (ANC) systems is based on the second order moment of the error signal. In this paper we consider ANC for impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non-Gaussian stable process for which the second order moments do not exist, and hence, the FxLMS algorithm becomes unstable. Recently, we have proposed variants of the FxLMS algorithm where an improved performance has been realized by thresholding the input data or by efficiently normalizing the step-size. In this paper, we propose a modified binormalized data-reusing (BNDR) algorithm for impulsive ANC. The proposed algorithm is derived by minimizing a modified cost function, and is based on reusing the past and present samples of data. The computer simulations are carried out to demonstrate the effectiveness of the proposed algorithm. It is shown that an improved performance has been realized with a reasonable increase in computational complexity.
AB - The filtered-x least mean square (FxLMS) algorithm for active noise control (ANC) systems is based on the second order moment of the error signal. In this paper we consider ANC for impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non-Gaussian stable process for which the second order moments do not exist, and hence, the FxLMS algorithm becomes unstable. Recently, we have proposed variants of the FxLMS algorithm where an improved performance has been realized by thresholding the input data or by efficiently normalizing the step-size. In this paper, we propose a modified binormalized data-reusing (BNDR) algorithm for impulsive ANC. The proposed algorithm is derived by minimizing a modified cost function, and is based on reusing the past and present samples of data. The computer simulations are carried out to demonstrate the effectiveness of the proposed algorithm. It is shown that an improved performance has been realized with a reasonable increase in computational complexity.
KW - Active noise control
KW - binormalized data-reusing algorithm
KW - impulsive noise
UR - http://www.scopus.com/inward/record.url?scp=84908469251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908469251&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2014.6908509
DO - 10.1109/MWSCAS.2014.6908509
M3 - Conference contribution
AN - SCOPUS:84908469251
SN - 9781479941346
T3 - Midwest Symposium on Circuits and Systems
SP - 691
EP - 694
BT - 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
Y2 - 3 August 2014 through 6 August 2014
ER -