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Annali di Matematica Pura ed Applicata

, Volume 187, Issue 1, pp 7–37 | Cite as

The no-response approach and its relation to non-iterative methods for the inverse scattering

  • Naofumi Honda
  • Gen Nakamura
  • Roland Potthast
  • Mourad Sini
Original Article

Abstract

This paper addresses the inverse obstacle scattering problem. In the recent years several non-iterative methods have been proposed to reconstruct obstacles (penetrable or impenetrable) from near or far field measurements. In the chronological order, we cite among others the linear sampling method, the factorization method, the probe method and the singular sources method. These methods use differently the measurements to detect the unknown obstacle and they require the use of many incident fields (i.e. the full or a part of the far field map). More recently, two other approaches have been added. They are the no-response test and the range test. Both of them use few incident fields to detect some informations about the scatterer. All the mentioned methods are based on building functions depending on some parameter. These functions share the property that their behaviors with respect to the parameter change drastically. The surface of the obstacle is located at most in the interface where these functions become large. The goal of this work is to investigate the relation between some of the non-iterative reconstruction schemes regarding the convergence issue. A given method is said to be convergent if it reconstructs a part or the entire obstacle by using few or many incident fields respectively. For simplicity we consider the obstacle reconstruction problem from far field data for the Helmholtz equation.

Keywords

Indicator Function Response Test Inverse Scattering Helmholtz Equation Dirichlet Eigenvalue 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Naofumi Honda
    • 1
  • Gen Nakamura
    • 2
  • Roland Potthast
    • 3
  • Mourad Sini
    • 4
  1. 1.Department of MathematicsHokkaido UniversitySapporoJapan
  2. 2.Department of MathematicsHokkaido UniversitySapporoJapan
  3. 3.Institute for Numerical and Applied MathematicsUniversity of Gottingen-Tomo-science GbRWolfsburg-GottingenGermany
  4. 4.Department of MathematicsHokkaido UniversitySapporoJapan

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