The Sound Speed Profile Reconstruction And Its Software Realization Based On Decomposition Of Empirical Orthogonal Function

Sound speed profile has an important influence on the propagation of underwater acoustics and determines characteristics of the propagation of underwater acoustics. It's more necessary to know the sound speed profile in the vicinity water area of sonar system for its design. In a word, sound speed profile plays an essential role in the investigation of underwater acoustics.A great number of collected and historical hydrologic data is summarized and arranged to form hydrologic data base for different sea area in this paper. And the data is empirically orthogonally decomposed to obtain the eigen vectors corresponding to eigen values. Then calculate the coefficient of empirical orthogonal function. At last the sound speed profile is rebuilt according to the depth of measurement in practice and corresponding sound speed.The problem associated with how to select depth and its corresponding sound speed to rebuild sound speed profile is studied. And demonstrate the principle of choosing depth to minimize the RMS error. The results of sound speed profile reconstruction under different circumstances are also analyzed systematically in this paper. The method of sound speed profile reconstruction used in this paper has been verified by lots of simulation experiments, which has many advantages such as fast computing speed, high precision and stable performance.The algorithm is written by C language and a piece of software for sound speed profile reconstruction is accomplished in the use of VC++. The software is a full sound filed calculation program, which contains the calculation of propagation loss, the electronic sea map, the function of seafloor parameters inversion and so on.