Title :
Sinusoid signal enhancement in colored noise based on least square kurtosis IIR adaptive notch filter
Author :
Liang, Hong ; Yang, Chang-sheng
Author_Institution :
Coll. of Marine, Northwestern Polytech. Univ., Xi´´an
Abstract :
A new variable step-size algorithm for a second-order lattice form structure adaptive IIR notch filter for detection and estimation frequency of sinusoids in coloured Gaussian noise is proposed. Utilized least square kurtosis of output signal as cost function, the new gradient based algorithm to update frequency of the adaptive IIR notch filter and the new variable step-size algorithm are given. The computer simulation results are shown that the proposed algorithm has better ability in suppressing colored Gaussian noise and better accuracy in estimating parameter at low SNR than previous algorithm.
Keywords :
Gaussian noise; IIR filters; adaptive filters; filtering theory; least squares approximations; notch filters; signal processing; coloured Gaussian noise; gradient based algorithm; least square kurtosis IIR adaptive notch filter; sinusoid signal enhancement; variable step-size algorithm; Adaptive filters; Colored noise; Computer simulation; Cost function; Frequency estimation; Gaussian noise; IIR filters; Lattices; Least squares methods; Parameter estimation;
Conference_Titel :
System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1786-5
Electronic_ISBN :
978-1-4244-1787-2
DOI :
10.1109/ASC-ICSC.2008.4675528