TY - JOUR
T1 - Recursive least squares-like algorithms for the adaptive second-order lattice notch filter
AU - Liang, Junli
AU - Ji, Bangjie
AU - Zhang, Junying
AU - Wang, Shijun
AU - Zhao, Feng
PY - 2008/5
Y1 - 2008/5
N2 - Two new adaptive second-order infinite impulse response (IIR) notch filters with fast convergence rate, accurate estimation of notch frequency, and modest realization complexity are proposed in this paper. It is proven that the optimum filter coefficient can be determined by using the minimum output energy (MOE) criterion. Based on it, a simplified equivalent adaptive system is derived, and two recursive least squares (RLS)-like algorithms are presented to adaptively estimate the filter coefficient. Extensive simulations show the effectiveness and robustness of the new adaptive IIR notch filters.
AB - Two new adaptive second-order infinite impulse response (IIR) notch filters with fast convergence rate, accurate estimation of notch frequency, and modest realization complexity are proposed in this paper. It is proven that the optimum filter coefficient can be determined by using the minimum output energy (MOE) criterion. Based on it, a simplified equivalent adaptive system is derived, and two recursive least squares (RLS)-like algorithms are presented to adaptively estimate the filter coefficient. Extensive simulations show the effectiveness and robustness of the new adaptive IIR notch filters.
KW - Adaptive notch filter
KW - Infinite impulse response (IIR)
KW - Recursive least squares (RLS)
UR - http://www.scopus.com/inward/record.url?scp=42949103463&partnerID=8YFLogxK
U2 - 10.1016/j.dsp.2007.05.007
DO - 10.1016/j.dsp.2007.05.007
M3 - 文章
AN - SCOPUS:42949103463
SN - 1051-2004
VL - 18
SP - 291
EP - 306
JO - Digital Signal Processing: A Review Journal
JF - Digital Signal Processing: A Review Journal
IS - 3
ER -