Title :
A novel adaptive IIR notch filter for frequency estimation and tracking
Author :
Tan, Xiaobo ; Zhang, Hang
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Tech., Nanjing, China
Abstract :
In this paper, a variable step size adaptive IIR notch filter is proposed to solve the problems of estimating and tracking the frequency of sinusoidal signal polluted by broad band noise. The bias removal technique is employed in the adaptive procedure to reduce the estimation bias in the implementation of the filter, and mathematical analysis is also used to discuss the estimation bias and MSE. Simulation results prove that the proposed filter is an effective method to estimate and track the frequency.
Keywords :
IIR filters; adaptive filters; frequency estimation; mathematical analysis; notch filters; adaptive IIR notch filter; bias removal technique; broad band noise; estimation bias reduction; frequency estimation; frequency tracking; mathematical analysis; sinusoidal signal; variable step size; Adaptation model; Radio access networks; adaptive notch filter; bias removal; frequency estimation; variable step size;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563738
