Abstract
| Original language | English |
|---|---|
| Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
| Pages (from-to) | 11-15 |
| Number of pages | 5 |
| ISSN | 1520-6149 |
| DOIs | |
| Publication status | Published - Apr 2015 |
| Event | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australia Duration: 19 Apr 2015 → 24 Apr 2015 Conference number: 2015 |
Conference
| Conference | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 |
|---|---|
| Number | 2015 |
| Country | Australia |
| City | Brisbane |
| Period | 19/04/2015 → 24/04/2015 |
Cite this
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On Frequency Domain Models for TDOA Estimation. / Jensen, Jesper Rindom; Nielsen, Jesper Kjær; Christensen, Mads Græsbøll; Jensen, Søren Holdt.
In: I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 04.2015, p. 11-15.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
TY - GEN
T1 - On Frequency Domain Models for TDOA Estimation
AU - Jensen, Jesper Rindom
AU - Nielsen, Jesper Kjær
AU - Christensen, Mads Græsbøll
AU - Jensen, Søren Holdt
PY - 2015/4
Y1 - 2015/4
N2 - 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 cross-correlation 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 and real-world data. The simulation code is available online.
AB - 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 cross-correlation 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 and real-world data. The simulation code is available online.
KW - TDOA estimation
KW - fundamental frequency estimation
KW - generalized cross-correlation
U2 - 10.1109/ICASSP.2015.7177922
DO - 10.1109/ICASSP.2015.7177922
M3 - Conference article in Journal
SP - 11
EP - 15
JO - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
SN - 1520-6149
ER -