Adaptive subsample delay estimation using windowed correlation

• Published in: IEEE transactions on circuits and systems. II, Express briefs Vol. 53; no. 6; pp. 478 - 482
• Main Authors: Maskell, D.L., Woods, G.S.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 1f noise; Adaptive filtering; Algorithms; Circuits; Correlation; Delay; Delay effects; Delay estimation; delay estimation (DE); Estimates; Estimators; Finite impulse response filter; Interpolation; Lagrangian functions; On-line systems; Passband; Sampling methods; Signal resolution; Signal to noise ratio; subsample delay; Time domain analysis; windowed correlation
• ISSN: 1549-7747; 1558-3791
• DOI: 10.1109/TCSII.2006.875327

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