深海声层析传播时延敏感核方法
[Abstract]:In 1979 W.Munk et al proposed an acoustic tomography method to monitor the mesoscale marine environment using acoustic method to solve the problem of inverse medium. In this method, the ocean parameters such as velocity and velocity of sound passing through the sea area are inversed by equal-acoustic propagation observations with propagation delay. Acoustic tomography is a multidimensional problem which combines ocean measurement, acoustic propagation modeling and acoustic inverse problem. The traditional acoustic tomography method is based on the perturbation method of ray model. The multipath signal travel time from the sound source to the receiving array element is used to retrieve the vertical stratified sound velocity profile by the perturbation method. The linear integral relation between sound path and slowness (reciprocal of sound velocity) constitutes the basic equation of acoustic inverse medium problem. The actual sound velocity profile can be estimated by solving inverse problem such as least square method. However, due to the resolution of transmission delay measurement and the high frequency approximation of the ray model, the resolution and accuracy of the perturbation method in the low-frequency deep-sea environment are insufficient. The propagation delay-sensitive nuclear acoustic tomography proposed in this paper deduces the three-dimensional integral relationship between the acoustic velocity disturbance and the propagation delay from the wave theory and the Bonn approximation. The low-frequency acoustic signal between the two nodes can be used to retrieve the acoustic disturbance at any position in the sea area. The propagating delay sensitive kernel method uses the wave peak delay of the signal to replace the multipath wave packet, which increases the observation quantity of the signal. At the same time, the three-dimension propagation delay sensitive kernel function promotes the acoustic path integral to the three-dimensional spatial integral, which improves the spatial resolution of the observation. In this paper, the theoretical derivation of kernel function, the matching of wave peak template and the solution of inverse problem of acoustic tomography are studied for propagation delay sensitive nuclear acoustic tomography. Firstly, the expression of 3D kernel function is deduced by using the normal wave model under the wideband model, and then the correlation-based waveform template matching method is proposed, which can effectively distinguish the matching peak. Finally, for different ocean acoustic disturbance environments, a least square method with smooth constraints, a truncated SVD method and a convex optimization method are proposed to solve the inverse problem of acoustic tomography. In this paper, the acoustic tomography of the traditional perturbation method and the propagating delay sensitive kernel method are simulated, and the results of the acoustic velocity inversion are compared. The results show that the propagating delay sensitive kernel method can effectively improve the accuracy and resolution. On the basis of the above research results, a set of ocean acoustic tomography software is developed.
【学位授予单位】:浙江大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:P733.2
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