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Theoretical framework for geoacoustic inversion by adjoint method

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【作者】 汪洋赵小峰

【Author】 Yang Wang;Xiao-Feng Zhao;School of Marine Science and Technology, Northwestern Polytechnical University;Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Jiao Tong University;College of Meteorology and Oceanography, National University of Defense Technology;

【通讯作者】 赵小峰;

【机构】 School of Marine Science and Technology, Northwestern Polytechnical UniversityKey Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Jiao Tong UniversityCollege of Meteorology and Oceanography, National University of Defense Technology

【摘要】 Traditional geoacoustic inversions are generally solved by matched-field processing in combination with metaheuristic global searching algorithms which usually need massive computations. This paper proposes a new physical framework for geoacoustic retrievals. A parabolic approximation of wave equation with non-local boundary condition is used as the forward propagation model. The expressions of the corresponding tangent linear model and the adjoint operator are derived, respectively, by variational method. The analytical expressions for the gradient of the cost function with respect to the control variables can be formulated by the adjoint operator, which in turn can be used for optimization by the gradient-based method.

【Abstract】 Traditional geoacoustic inversions are generally solved by matched-field processing in combination with metaheuristic global searching algorithms which usually need massive computations. This paper proposes a new physical framework for geoacoustic retrievals. A parabolic approximation of wave equation with non-local boundary condition is used as the forward propagation model. The expressions of the corresponding tangent linear model and the adjoint operator are derived, respectively, by variational method. The analytical expressions for the gradient of the cost function with respect to the control variables can be formulated by the adjoint operator, which in turn can be used for optimization by the gradient-based method.

【基金】 Project supported by the Foundation of Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education,China(Grant No.SJTUMIES1908);the National Natural Science Foundation of China(Grant No.41775027)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2019年10期
  • 【分类号】O175;P733.2
  • 【下载频次】14
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