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Article

Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water

School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
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J. Mar. Sci. Eng. 2019, 7(9), 295; https://doi.org/10.3390/jmse7090295
Submission received: 7 August 2019 / Revised: 22 August 2019 / Accepted: 26 August 2019 / Published: 29 August 2019
(This article belongs to the Special Issue Techniques and Challenges in Underwater Localization)

Abstract

This paper develops a joint approach for time-evolving sound speed field (SSF) inversion and moving source localization in shallow water environment. The SSF is parameterized in terms of the first three empirical orthogonal function (EOF) coefficients. The approach treats both first three EOF coefficients and source parameters (e.g., source depth, range and speed) as state vectors of evolving with time, and a measurement vector that incorporates acoustic information via a vertical line array (VLA), and then the inversion problem is formulated in a state-space model. The processors of the extended Kalman filter (EKF) and ensemble Kalman filter (EnKF) are used to estimate the evolution of those six parameters. Simulation results verify the proposed approach, which enable it to invert the SSF and locate the moving source simultaneously. The root-mean-square-error (RMSE) is employed to evaluate the effectiveness of this proposed approach. The interfile comparison shows that the EnKF outperform the EKF. For the EnKF, the robustness of the approach under the sparse vertical array configuration is verified. Moreover, the impact of the source-VLA deployment on the estimation is also concerned.
Keywords: sound speed; empirical orthogonal function; moving source; filter sound speed; empirical orthogonal function; moving source; filter

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MDPI and ACS Style

Dai, M.; Li, Y.; Yang, K. Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water. J. Mar. Sci. Eng. 2019, 7, 295. https://doi.org/10.3390/jmse7090295

AMA Style

Dai M, Li Y, Yang K. Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water. Journal of Marine Science and Engineering. 2019; 7(9):295. https://doi.org/10.3390/jmse7090295

Chicago/Turabian Style

Dai, Miao, Yaan Li, and Kunde Yang. 2019. "Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water" Journal of Marine Science and Engineering 7, no. 9: 295. https://doi.org/10.3390/jmse7090295

APA Style

Dai, M., Li, Y., & Yang, K. (2019). Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water. Journal of Marine Science and Engineering, 7(9), 295. https://doi.org/10.3390/jmse7090295

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