Adaptive sinusoid detection using IIR notch filters and multirate techniques

Author

Petraglia, Mariane R. ; Mitra, Sanjit K. ; Szczupak, Jacques

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

41

Issue

11

fYear

1994

fDate

11/1/1994 12:00:00 AM

Firstpage

709

Lastpage

717

Abstract

In this paper, a new structure for the detection of sinusoids using adaptive IIR notch filters and multirate techniques is presented. By using the frequency enhancement property of the decimation in time process, the proposed structure avoids the use of almost unity radius notch filters. A stochastic analysis of the convergence properties of the proposed multirate IIR notch filter structure is discussed. The analysis verifies the low adaptation coefficient variance of the proposed structure, and the small bias in the frequency estimates of multiple sinusoidal signal. Computer simulations show the superior performance of the proposed structure for the detection of closely-spaced sinusoids and tracking of nonstationary sinusoidal signals

Keywords

IIR filters; adaptive filters; adaptive signal detection; convergence; notch filters; tracking filters; IIR notch filters; adaptive sinusoid detection; closely-spaced sinusoid signal detection; computer simulation; convergence properties; decimation in time process; frequency enhancement; gradient descent method; low adaptation coefficient variance; multiple sinusoidal signal frequency estimates; multirate techniques; nonstationary sinusoidal signal tracking; stochastic analysis; Adaptive filters; Analysis of variance; Arithmetic; Convergence; Digital filters; Finite impulse response filter; Frequency estimation; IIR filters; Signal analysis; Stochastic processes;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.331541

Filename

331541