Gradient-based adaptive IIR notch filtering for frequency estimation

Author

Chicharo, Joe F. ; Ng, Tung Sang

Author_Institution

Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia

Volume

38

Issue

5

fYear

1990

fDate

5/1/1990 12:00:00 AM

Firstpage

769

Lastpage

777

Abstract

The use of gradient-based algorithms with infinite impulse response (IIR) notch filtering for estimating sinusoids imbedded in noise is investigated. Two notch filter model structures are presented. The first is for applications where two signal sources with correlated noise components can be assessed. The second can be used in situations where only one composite signal source is available. Error surface analysis indicates that second-order modules are unimodal and result in guaranteed convergence. Higher-order modules are multimodal and require judicious choice of initial parameter estimates. Simulation results are included to demonstrate the performance characteristics of both filter structures

Keywords

adaptive filters; error analysis; filtering and prediction theory; notch filters; parameter estimation; adaptive IIR notch filtering; composite signal source; correlated noise components; error surface analysis; frequency estimation; gradient-based algorithms; guaranteed convergence; infinite impulse response; initial parameter estimates; multimodal higher order modules; noise embedded sinusoids; two signal sources; unimodal second-order modules; Adaptive filters; Australia; Convergence; Digital filters; Error analysis; Filtering algorithms; Frequency estimation; IIR filters; Interference; Signal processing algorithms;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.56021

Filename

56021