Abstract
Short-term variability of ship responses is investigated by cross-spectrum analysis. In a steady state condition, it is well known that a certain length of sampled data is required for stable results of the spectral analysis. However, the phase lag between responses, in terms of the phase angle of the cross-spectra, has not been discussed in detail. Analyzing long stationary time series by direct Fourier transform, the authors pointed out that the short-term variability of the relative phase angle of the cross-spectra was very harmful to sea state estimation of the wave buoy analogy. In this report, the same investigation based on the correlation (Blackman-Tukey) method was applied to the same data. In the results, it was observed that the short-term variability of the relative phase angle was reduced to a certain extent.
Original language | English |
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Title of host publication | Proceedings of the 139th Conference of Japan Institute of Navigation |
Number of pages | 4 |
Publisher | Japan Institute of Navigation - JIN |
Publication date | 2018 |
Article number | K139-25 |
Publication status | Published - 2018 |
Event | Conference of Japan Institute of Navigation 2018 (JIN2018) - Toyama, Japan Duration: 26 Oct 2018 → 27 Oct 2018 |
Conference
Conference | Conference of Japan Institute of Navigation 2018 (JIN2018) |
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Country/Territory | Japan |
City | Toyama |
Period | 26/10/2018 → 27/10/2018 |