Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Wind Wave Acoustic Parameters Inversion Using Noise Spectrum

Authors
Penghao Xu, Bing Yan, Jue Huang
Corresponding Author
Penghao Xu
Available Online July 2015.
DOI
https://doi.org/10.2991/lemcs-15.2015.152How to use a DOI?
Keywords
Acoustic parameter; Wind wave; Spectrum; Data inversion; Comprehensive model
Abstract
This paper investigates acoustic parameters inversion of wind through developing modified inversion model. By spectrum the analysis of 100 segment measured data at different frequencies, the paper obtains the mean spectrum curve in specific sea state, then uses the mean curve to modify existed models and builds acoustic parameter inversion model. At high frequency, the paper builds comprehensive wind wave noise model by modifying APL and Koopman Ferla model and Knudsen Spectrum shallow water model; at low frequency, shallow water model is established based on Knudsen Spectrum. According to the inversion model in full bandwidth, wind wave signal is inversed by processing the full bandwidth signal in different band by 1/24 octave. The amplitude of the signal follows the Gaussian distribution and the phase follows uniform distribution. The results show that by resorting accurate inversion model, acoustic parameters signal of ocean wind wave can be inversed through data. The results demonstrate the accuracy of the proposed inversion model.
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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-15.2015.152How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Penghao Xu
AU  - Bing Yan
AU  - Jue Huang
PY  - 2015/07
DA  - 2015/07
TI  - Wind Wave Acoustic Parameters Inversion Using Noise Spectrum
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
PB  - Atlantis Press
SP  - 777
EP  - 781
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.152
DO  - https://doi.org/10.2991/lemcs-15.2015.152
ID  - Xu2015/07
ER  -