DocumentCode
830387
Title
A Method for Requiring Block Size for Spectrum Measurement of Ocean Surface Waves
Author
Li, Ming
Author_Institution
Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai
Volume
55
Issue
6
fYear
2006
Firstpage
2207
Lastpage
2215
Abstract
Spectrum measurement of field data of ocean surface waves is essential for the performance research, analysis and design of ship structure, and laboratory testing. There are two problems in measuring a power spectrum of wave data. One is how to estimate the upper bound of the mean-square error of a spectrum measurement of a block of wave data at a given wind speed (sea state). The other is how to quantitatively require the lower bound of the block size according to a given wind speed and a given degree of the mean-square error of spectrum measurement of a block of wave data. This paper presents four theorems and two corollaries with respect to the solutions to the above two problems. Theorems 1-4 describe the general solutions to the above problems based on two general spectral models of wave data. Corollaries 1 and 2 show the specific solutions to the problems based on the Pierson-Moskowitz spectrum. With Corollaries 1 and 2, the effect of large wind speed on the spectrum measurement of wave data is analyzed. The significance of the present results is examined and demonstrated by spectrum measurement of real field data of ocean waves
Keywords
mean square error methods; ocean waves; oceanographic techniques; ships; signal processing; wave mechanics; Pierson-Moskowitz spectrum; estimation theory; mean square error; measurement errors; ocean surface waves; ship structure design; spectrum estimation; spectrum measurement; statistical error analysis; wind speed; Laboratories; Marine vehicles; Oceans; Performance analysis; Sea measurements; Sea surface; Size measurement; Surface waves; Velocity measurement; Wind speed; Estimation theory; measurement errors; measurement of ocean waves; ocean spectra; spectrum estimation; spectrum measurement; statistical error analysis;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2006.884134
Filename
4014721
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