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Title: On cross correlation function based discrete time delay estimation
Authors: Zhang, L 
Wu, X
Issue Date: 2005
Source: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : May 17-21, 2004, Fairmont Queen Elizabeth Hotel, Montreal, Quebec, Canada, p. iv/981-iv/984 How to cite?
Abstract: The cross correlation function (CCF) is a powerful tool in time delay estimation and parabola functions are widely used as parametric models of it. However, no study has been done on the accuracy of the parabola approximation of CCF. In this paper, we analyze the CCF of multi-sensors and derive the analytic forms of CCF for the stationary processes of the exponential auto-correlation function with respect to two important types of sensor kernels. We demonstrate that the Gaussian function is a better and more robust approximation of CCF than the parabola in these cases. This new approach leads to higher precision in time delay estimation using the CCF peak locating strategy.
ISBN: 0-7803-8874-7
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2005.1416175
Appears in Collections:Conference Paper

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