Abstract
The sound speed profile plays an important role in shallow water sound propagation. And much attention has been paid on how to obtain it. Concurrences with in‐site measurements, many inversion methods have been put forward to estimate sound speed profile from acoustic signals received by a vertical line array. The feasibility and robustness of an acoustic tomography scheme with matched field processing are studied. The acoustic signals from a horizontal line array in South China Sea are analyzed to invert sound speed profiles, in which the sound speed profile is described by the empirical orthogonal functions to reduce the unknown parameters. Parallel genetic algorithm is adopted as the optimization algorithm to increase the inversion speed. The results show that the inverted sound speed profiles are in good agreement with in‐site measurements. Moreover, the a posteriori probability analysis is used to verify the validity of the inverted results. [Work supported by the National Natural Science Foundation of China under Grant No. 10974218 and the Knowledge Innovation Program of the Chinese Academy of Sciences, Grant No. KZCX1‐YW‐12‐2.]
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