Shape reconstruction of the multi-scale rough surface from multi-frequency phaseless data (Q2820670)

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scientific article; zbMATH DE number 6625823
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Shape reconstruction of the multi-scale rough surface from multi-frequency phaseless data
scientific article; zbMATH DE number 6625823

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    Shape reconstruction of the multi-scale rough surface from multi-frequency phaseless data (English)
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    9 September 2016
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    multi-scale rough surface
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    phaseless data
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    recursive Landweber iteration
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    Fréchet derivative
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    Helmholtz equation
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    inverse scattering
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    numerical experiments
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    The paper is devoted to study the 2D inverse scattering problem of recovering the shape of an unknown multi--scale rough surface in a homogeneous medium from phaseless scattering measurements with time harmonic tapered incident wave. The propagation domain is \(\Omega_f=\{ (x,z) \in \mathbb R^2: z>f(x) \}\) with a bounded \(C^2\) function \(f\). The problem is to reconstruct the function \(f\) from the scattering data \(| \Psi^s(x,H)|\), \(H>\max_{x\in R} \{ 0, f(x) \}\), where \(\Delta \Psi^s+k^2 \Psi=0\) in \(\Omega_f\) and \(\Psi^s+\Psi^{\mathrm{inc}}=0\) on \(\partial \Omega_f\). For solving the problem, the authors use a Landweber type iterative process. Numerical experiments are presented to illustrate the effectiveness of the method.
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