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- W2959460752 abstract "This paper presents an application of the Hilbert Transform (HT) in the time delay estimation (TDE) of random signals by cross-correlation function (CCF). The use of HT in the cross-correlation analysis provided a CCFHT function that reaches zero value for transportation time delay τ0. This allowed replacing the traditional τ0 designation by looking for a position of the CCF main maximum with the zero crossing location of the CCFHT, which is easier to determine. A novelty in this paper is the analysis of metrological properties of the CCFHT method for three models of stochastic measuring signals with a random noise disturbance. For these models the standard uncertainties of the TDE using CCFHT and CCF for the signal-to-noise ratio (SNR) in the interval 0.01 ≤ SNR ≤ 100 have been compared. It was found that the CCFHT-based TDE has a better accuracy in most cases. Only for very low SNR values (at 0.01) with a relatively few samples (at 5000) the CCF-based TDE is more advantageous." @default.
- W2959460752 created "2019-07-23" @default.
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- W2959460752 date "2019-11-01" @default.
- W2959460752 modified "2023-10-17" @default.
- W2959460752 title "Time delay estimation of random signals using cross-correlation with Hilbert Transform" @default.
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- W2959460752 doi "https://doi.org/10.1016/j.measurement.2019.07.014" @default.
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