Adaptive subsample delay estimation using windowed correlation

Author

Maskell, Douglas L. ; Woods, Graham S.

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore

Volume

53

Issue

6

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

478

Lastpage

482

Abstract

An on-line delay estimation algorithm based upon the windowed average magnitude difference function (AMDF) that is suitable for determining the subsample delay between two noisy signals is introduced. The new estimator uses the AMDF to directly update the delay estimate, which is in turn used to adapt the coefficients of a fractional delay filter (FDF). The new estimator consists predominately of addition and subtraction operations and outperforms conventional FDF based estimators in low signal-to-noise ratio situations

Keywords

adaptive filters; correlation theory; delay estimation; delay filters; adaptive filtering; adaptive subsample delay estimation; fractional delay filter; noisy signals; online delay estimation algorithm; windowed average magnitude difference function; windowed correlation; 1f noise; Delay effects; Delay estimation; Finite impulse response filter; Interpolation; Lagrangian functions; Passband; Sampling methods; Signal resolution; Time domain analysis; Adaptive filtering; delay estimation (DE); subsample delay; windowed correlation;

fLanguage

English

Journal_Title

Circuits and Systems II: Express Briefs, IEEE Transactions on

Publisher

ieee

ISSN

1549-7747

Type

jour

DOI

10.1109/TCSII.2006.875327

Filename

1643465