A reference ball based iterative algorithm for imaging acoustic obstacle from phaseless far-field data
This work addresses the challenging inverse problem of obstacle reconstruction without phase information, offering a computationally efficient method for acoustic imaging applications.
The paper proposes an iterative algorithm using a reference ball to reconstruct the location and shape of a sound-soft obstacle from phaseless far-field data for a single incident plane wave, demonstrating effectiveness and robustness through numerical examples.
In this paper, we consider the inverse problem of determining the location and the shape of a sound-soft obstacle from the modulus of the far-field data for a single incident plane wave. By adding a reference ball artificially to the inverse scattering system, we propose a system of nonlinear integral equations based iterative scheme to reconstruct both the location and the shape of the obstacle. The reference ball technique causes few extra computational costs, but breaks the translation invariance and brings information about the location of the obstacle. Several validating numerical examples are provided to illustrate the effectiveness and robustness of the proposed inversion algorithm.