In this paper, we consider the inverse scattering problem of reconstructing a bounded obstacle in a three-dimensional planar waveguide from the scattered near-field data measured on a finite cylindrical surface containing the obstacle and corresponding to infinitely many incident point sources also placed on the measurement surface. The obstacle is allowed to be an impenetrable scatterer or a penetrable scatterer. We establish the validity of the factorization method with the near-field data to characterize the obstacle in the planar waveguide by constructing an outgoing-to-incoming operator which is an integral operator defined on the measurement surface with the kernel given in terms of an infinite series.
Xue Qin(秦雪) Factorization method for inverse obstacle scattering problem in three-dimensional planar acoustic waveguides 2018 Chin. Phys. B 27 100203
[1]
Colton D and Kress R 2013 Inverse Acoustic and Electromagnetic Scattering Theory, 3rd edn. (New York:Springer) p. 1
[2]
Kirsch A 2011 An introduction to mathematical theory of inverse problem (Berlin:Springer) p. 1
[3]
Arens T, Gintides and Lechleiter A 2008 Math. Method. Appl. Sci. 31 821
[4]
Arens T, Gintides and Lechleiter A 2011 SIAM J. Appl. Math. 71 753
[5]
Bourgeois L, Chambeyron C and Kusiak S 2007 J. Comput. Appl. Math. 204 387
[6]
Bourgeois L and Lunéville E 2008 Inverse Probl. 24 015018
[7]
Ikehata M, Makrakis G N and Nakamura G 2004 Math. Method Appl. Sci. 27 1367
[8]
Lechleiter A and Nguyen D L 2012 IMA J. Numer. Anal. 32 813
[9]
Dediu S and Mclaughlin J R 2006, Inverse Probl. 22 1227
[10]
Gilbert R P, Werby M and Xu Y Z 2001 J. Comput. Acoust. 9 1025
[11]
Chen Z M and Huang G H 2015 Sci. Chin. Math. 58 1811
[12]
Liu K J, Xu Y Z and Zou J 2014 Appl. Math. Comput. 235 364
[13]
Sun J G and Zheng C X 2013 Contemp. Math. 586 341
[14]
Ahluwalia D S and Keller J B 1977 "Exact and asymptotic representations of the sound field in a stratified ocean", in Wave Propagation and Underwater Acoustics (Berlin, Heidelberg:Springer) 70 p. 14
[15]
Xu Y Z, Mawata C and Lin W 2000 Inverse Probl. 16 1761
[16]
Arens T and Kirsh A 2002 Inverse Probl. 19 1195
[17]
Hu G H, Yang J Q, Zhang B and Zhang H W 2014 Inverse Probl. 30 095005
[18]
Kirsch A and Grinberg N 2008 The Factorization Method for Inverse Problems (Oxford:Oxford University Press) p. 1
[19]
Yin T, Hu G H, Xu L W and Zhang B 2016 Inverse Probl. 32 015003
[20]
Xu Y Z 1990 Appl. Anal. 35 129
[21]
Ramm A G and Makrakis G N 1998 in Spectral and Scattering Theory (New York:Plenum Publishers) p. 89
[22]
Linton C M and Mclver P 2007 Wave Motion 45 16
[23]
McLean W 2000 Strongly elliptic systems and boundary integral equations (Cambridge:Cambridge University Press) p. 1
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