Comparative study of four adaptive frequency trackers

Author

Tichavský, Petr ; Nehorai, Arye

Author_Institution

Inst. of Inf. Theory & Autom., Prague, Czech Republic

Volume

45

Issue

6

fYear

1997

fDate

6/1/1997 12:00:00 AM

Firstpage

1473

Lastpage

1484

Abstract

We study and compare four algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise: the adaptive notch filter, the multiple frequency tracker, the adaptive estimation scheme, and the hyperstable adaptive line enhancer. The local behavior of the algorithms in a neighborhood of their equilibrium state [assuming high signal-to-noise ratio (SNR) and large data sample] for a two-cisoid signal is treated in a similar way to the linear filter approximation technique used for a single-cisoid case. The validity of the results is confirmed by computer simulations

Keywords

adaptive estimation; adaptive filters; adaptive signal processing; approximation theory; filtering theory; notch filters; signal sampling; tracking filters; SNR; adaptive estimation; adaptive frequency trackers; adaptive notch filter; adaptive retrieval; algorithms; comparative study; computer simulations; equilibrium state; high signal-to-noise ratio; hyperstable adaptive line enhancer; large data sample; linear filter approximation; local behavior; multiple frequency tracker; noise; single-cisoid; slowly time-varying multiple cisoids; Adaptive estimation; Adaptive filters; Frequency estimation; IIR filters; Line enhancers; Nonlinear filters; Recursive estimation; Signal processing; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.599971

Filename

599971