Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A novel technique for design and stability analysis of adaptive IIR Filters in ANVC aplications
AU - Montazeri, Allahyar
AU - Poshtan, Javad
PY - 2007
Y1 - 2007
N2 - The use of IIR filters instead of FIR filters in active noise and vibration control applications has some special advantages. However, multimodal error surface and instability problem of adaptive IIR filters has prevented its extensive use like FIR filters, and hence invokes more research on these subjects. In this paper, a new approach to design and stability analysis of adaptive IIR filters in active noise and vibration control applications, is proposed. The approach is based on transforming the ANVC problem to an output-error identification problem and the conditions for stability are derived using Popov hyperstabilty theory. The performance of the algorithm is compared to that of the Errikson's FuLMS and SHARF algorithms, and it is shown that the proposed algorithm has a faster convergence rate and the ability to converge to global optimum of filter weights.
AB - The use of IIR filters instead of FIR filters in active noise and vibration control applications has some special advantages. However, multimodal error surface and instability problem of adaptive IIR filters has prevented its extensive use like FIR filters, and hence invokes more research on these subjects. In this paper, a new approach to design and stability analysis of adaptive IIR filters in active noise and vibration control applications, is proposed. The approach is based on transforming the ANVC problem to an output-error identification problem and the conditions for stability are derived using Popov hyperstabilty theory. The performance of the algorithm is compared to that of the Errikson's FuLMS and SHARF algorithms, and it is shown that the proposed algorithm has a faster convergence rate and the ability to converge to global optimum of filter weights.
KW - LMS ALGORITHM
KW - IIR digital filter stability
KW - Vibration control
KW - Adaptive filters
KW - CONVERGENCE ANALYSIS
KW - ACTIVE NOISE-CONTROL
U2 - 10.1109/ICSPC.2007.4728371
DO - 10.1109/ICSPC.2007.4728371
M3 - Conference contribution/Paper
SN - 978-1-4244-1235-8
SP - 524
EP - 527
BT - Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
PB - IEEE
CY - New York
T2 - IEEE International Conference on Signal Processing and Communications
Y2 - 24 November 2007 through 27 November 2007
ER -