On time delay estimation using an FIR filter

Published: 01 Jan 2001, Last Modified: 22 May 2025Signal Process. 2001EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: A popular technique for time delay estimation is to use an FIR filter to model the time difference and the filter weights are interpolated with a sinc function to obtain the delay estimate. However, the sinc interpolator requires a sufficiently long filter length for accurate delay estimation. In this paper, we propose to process the filter weights via a least-squares-based method in order to acquire optimum delay estimates even with short filter lengths.
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