On frequency domain models for TDOA estimation
Jesper Rindom Jensen, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Søren Holdt Jensen
Abstract
Time-difference-of-arrival (TDOA) estimation is an important problem in many microphone signal processing applications. Traditionally, this problem is solved by using a cross-correlation method, but in this paper we show that the cross-correlation method is actually a restricted special case of a much more general method. In this connection, we establish the conditions under which the crosscorrelation method is a statistically efficient estimator. One of the conditions is that the source signal is periodic with a known fundamental frequency of 2π/N radians per sample, where N is the number of data points, and a known number of harmonics. The more general method only relies on that the source signal is periodic and is, therefore, able to outperform the cross-correlation method in terms of estimation accuracy on both synthetic data and artificially delayed speech data. The simulation code is available online.
BibTeX
@inproceedings{icassp2015_onfrequencydomai,
title = {On frequency domain models for TDOA estimation},
author = {Jesper Rindom Jensen and Jesper Kjær Nielsen and Mads Græsbøll Christensen and Søren Holdt Jensen},
booktitle = {ICASSP 2015},
year = {2015}
}