An improved time domain linear sampling method for Robin and Neumann obstacles

Houssem Haddar, Armin Lechleiter and Simon Marmorat
2013
Type de publication :
Article (revues avec comité de lecture)
Journal :
Applicable Analysis, pp. 1-22
HAL :
hal-00768725
Mots clés :
linear sampling method, time domain, Robin, Fourier
Résumé :
We consider inverse obstacle scattering problems for the wave equation with Robin or Neumann boundary conditions. The problem of reconstructing the geometry of such obstacles from measurements of scattered waves in the time domain is tackled using a time domain linear sampling method. This imaging technique yields a picture of the scatterer by solving a linear operator equation involving the measured data for many right-hand sides given by singular solutions to the wave equation. We analyze this algorithm for causal and smooth impulse shapes, we discuss the e ect of di erent choices of the singular solutions used in the algorithm, and nally we propose a fast FFT-based implementation.
BibTeX :
@article{Had-Lec-Mar-2013,
    author={Houssem Haddar and Armin Lechleiter and Simon Marmorat },
    title={An improved time domain linear sampling method for Robin and 
           Neumann obstacles },
    doi={10.1080/00036811.2013.772583 },
    journal={Applicable Analysis },
    year={2013 },
    pages={1--22},
}