On time delay estimation

H. Messer; P. M. Schultheiss

doi:10.1109/SSAP.1994.572438

On time delay estimation

H. Messer, P. M. Schultheiss

Research output: Contribution to conference › Paper › peer-review

Abstract

We address the problem of estimating the time delay between two versions of a signal, each embedded in ad-'ditive noise. A widely used time-delay estimator is the generalized cross correlator (GCC). Its performance was well studied and has been shown to be optimal for any signal-t-noise-ratio (SNR) when the signal and the two noise processes are uncorrelated Gaussians. In 8 non-Gauesian setting, we show, by means of Monte-Carlo simulations, that at low SNR a non-linear correlator with non-linearity which is matched to the noise distribution perform better then the hear correlator. At moderate SNR the preferred proGessor is a member of a family of time delay estimation (TDE) processors which are based on minimization of the norm of order E, of the difference between the two received signals. The achievable improvement increases as the distribution of the noise processes deviates from Gaussianity.

Original language	English
Pages	67-69
Number of pages	3
DOIs	https://doi.org/10.1109/SSAP.1994.572438
State	Published - 1994
Externally published	Yes
Event	7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994 - Quebec, Canada Duration: 26 Jun 1994 → 29 Jun 1994

Conference

Conference	7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994
Country/Territory	Canada
City	Quebec
Period	26/06/94 → 29/06/94

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© 1994 IEEE.

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10.1109/SSAP.1994.572438

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On time delay estimation

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