Adaptive time delay estimation with noise suppression for sinusoidal signals

Author

So, H.C.

Author_Institution

Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, Kowloon, China

Volume

2

fYear

2002

fDate

4-7 Aug. 2002

Abstract

A least mean square algorithm is devised for time delay estimation between noisy sinusoidal signals received at two spatially separated sensors. Two adaptive finite impulse response (FIR) filters whose coefficients are samples of a sine function are used for delay modeling as well as noise suppression. The convergence behavior and variance of the estimated delay are also derived. Computer simulations are presented to validate the theoretical derivations of the proposed estimator for static and linearly varying delays.

Keywords

FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; delay estimation; interference suppression; least mean squares methods; FIR filter coefficients; LMS-style algorithm; adaptive finite impulse response filters; adaptive time delay estimation; convergence; delay modeling; estimated delay variance; least mean square algorithm; linearly varying delays; noise suppression; propagation delay; sinusoidal signal delay estimation; spatially separated sensors; static delays; Adaptive filters; Computer simulation; Delay effects; Delay estimation; Delay lines; Finite impulse response filter; Information technology; Least mean square algorithms; Signal to noise ratio; Sonar navigation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on

Print_ISBN

0-7803-7523-8

Type

conf

DOI

10.1109/MWSCAS.2002.1186885

Filename

1186885