Abstract
A nonlinear optimization method was developed to solve the inverse problem of determining the shape of a hard target from the knowlegde of the far-field pattern of the acoustic scattering wave, it was achieved by solving independently an ill-posed linear system and a well-posed minimization problem. Such a separate numerical treatment for the illposedness and nonlinearity of the inverse problem makes the numerical implementation of the proposed method very easy and fast since there only involves the solution of a small scale minimization problem with one unknown function in the nonlinear optimization step for determining the shape of the sound-hard obstacle. Another particular feature of the method is that it can reproduce the shape of an unknown hard target efficiently from the knowledge of only one Fourier coefficient of the far-field pattern. Moreover, a two-step adaptive iteration algorithm was presented to implement numerically the nonlinear optimization scheme. Numerical experiments for several two-dimensional sound-hard scatterers having a variety of shapes provide an independent verification of the effectiveness and practicality of the inversion scheme.
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Communicated by Dupai Shi-qian
Foundation items: the Excellent Doctorial Paper Foundation of Education Ministry of China; the Shuguang Project of Shanghai Education Committee
Biography: Yupou Yun-xiang (1963 ∼)
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Yun-xiang, Y., Guo-ping, M. Numerical method for the shape reconstruction of a hard target. Appl Math Mech 24, 1233–1244 (2003). https://doi.org/10.1007/BF02438112
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DOI: https://doi.org/10.1007/BF02438112