FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
|
|
|
|
Sequential Parameter Estimation Using Modal Dispersion Curves in Shallow Water |
Xue-Dong Zhang1,2, Li-Xin Wu1,2**, Hai-Qiang Niu1, Ren-He Zhang1,2 |
1State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190 2University of Chinese Academy of Sciences, Beijing 100049
|
|
Cite this article: |
Xue-Dong Zhang, Li-Xin Wu, Hai-Qiang Niu et al 2018 Chin. Phys. Lett. 35 044301 |
|
|
Abstract Existing sequential parameter estimation methods use the acoustic pressure of a line array as observations. The modal dispersion curves are employed to estimate the sound speed profile (SSP) and geoacoustic parameters based on the ensemble Kalman filter. The warping transform is implemented to the signals received by a single hydrophone to obtain the dispersion curves. The experimental data are collected at a range-independent shallow water site in the South China Sea. The results indicate that the SSPs are well estimated and the geoacoustic parameters are also well determined. Comparisons of the observed and estimated modal dispersion curves show good agreement.
|
|
Received: 28 November 2017
Published: 13 March 2018
|
|
PACS: |
43.30.Pc
|
(Ocean parameter estimation by acoustical methods; remote sensing; imaging, inversion, acoustic tomography)
|
|
43.60.Pt
|
(Signal processing techniques for acoustic inverse problems)
|
|
43.60.Wy
|
(Non-stationary signal analysis, non-linear systems, and higher order statistics)
|
|
|
Fund: Supported by the National Natural Science Foundation of China under Grant Nos 11434012, 11774374, 11404366 and 41561144006. |
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|