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November  2016, 10(4): 1057-1085. doi: 10.3934/ipi.2016032

A globally convergent numerical method for a 1-d inverse medium problem with experimental data

Michael V. Klibanov 1, , Loc H. Nguyen 1, , Anders Sullivan 2, and  Lam Nguyen 2,

1. 

Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC 28213, United States, United States
2. 

US Army Research Laboratory, 2800 Powder Mill Road, Adelphy, MD 20783-1197, United States, United States

Received  February 2016 Revised  April 2016 Published  October 2016

In this paper, a reconstruction method for the spatially distributed dielectric constant of a medium from the back scattering wave field in the frequency domain is considered. Our approach is to propose a globally convergent algorithm, which does not require any knowledge of a small neighborhood of the solution of the inverse problem in advance. The Quasi-Reversibility Method (QRM) is used in the algorithm. The convergence of the QRM is proved via a Carleman estimate. The method is tested on both computationally simulated and experimental data.
Keywords: electromagnetic waves., Coefficient inverse scattering problem, globally convergent algorithm, dielectric constant.
Mathematics Subject Classification: 34L25, 35P25, 78A4.
Citation: Michael V. Klibanov, Loc H. Nguyen, Anders Sullivan, Lam Nguyen. A globally convergent numerical method for a 1-d inverse medium problem with experimental data. Inverse Problems & Imaging, 2016, 10 (4) : 1057-1085. doi: 10.3934/ipi.2016032
References:
[1]

L. Beilina and M. V. Klibanov, Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems, Springer, New York, 2012. doi: 10.1007/978-1-4419-7805-9.  Google Scholar

[2]

L. Beilina and M. V. Klibanov, A new approximate mathematical model for global convergence for a coefficient inverse problem with backscattering data, J. Inverse and Ill-Posed Problems, 20 (2012), 512-565. doi: 10.1515/jip-2012-0063.  Google Scholar

[3]

L. Beilina, Energy estimates and numerical verification of the stabilized domain decomposition finite element/finite difference approach for the Maxwell's system in time domain, Central European Journal of Mathematics, 11 (2013), 702-733. doi: 10.2478/s11533-013-0202-3.  Google Scholar

[4]

L. Bourgeois and J. Dardé, About stability and regularization of ill-posed elliptic Cauchy problems: the case of Lipschitz domains, Applicable Analalysis, 89 (2010), 1745-1768. doi: 10.1080/00036810903393809.  Google Scholar

[5]

L. Bourgeois and J. Dardé, A duality-based method of quasi-reversibility to solve the Cauchy problem in the presence of noisy data, Inverse Problems, 26 (2010), 095016, 21pp. doi: 10.1088/0266-5611/26/9/095016.  Google Scholar

[6]

L. Bourgeois and J. Dardé, The "exterior approach" to solve the inverse obstacle problem for the Stokes system, Inverse Problems and Imaging, 8 (2014), 23-51. doi: 10.3934/ipi.2014.8.23.  Google Scholar

[7]

H. T. Chuah, K. Y. Lee and T. W. Lau, Dielectric constants of rubber and oil palm leaf samples at X-band, IEEE Trans. on Geoscience and Remote Sensing, 33 (1995), 221-223. doi: 10.1109/36.368205.  Google Scholar

[8]

S. I. Kabanikhin, On linear regularization of multidimensional inverse problems for hyperbolic equations, Soviet Mathematics Doklady, 40 (1990), 579-583.  Google Scholar

[9]

S. I. Kabanikhin, A. D. Satybaev and M. A. Shishlenin, Direct Methods of Solving Inverse Hyperbolic Problems, VSP, Utrecht, 2005.  Google Scholar

[10]

S. I. Kabanikhin, K. K. Sabelfeld, N. S. Novikov and M. A. Shishlenin, Numerical solution of the multidimensional Gelfand-Levitan equation, J. Inverse and Ill-Posed Problems, 23 (2015), 439-450. doi: 10.1515/jiip-2014-0018.  Google Scholar

[11]

A. L. Karchevsky, M. V. Klibanov, L. Nguyen, N. Pantong and A. Sullivan, The Krein method and the globally convergent method for experimental data, Applied Numerical Mathematics, 74 (2013), 111-127. doi: 10.1016/j.apnum.2013.09.003.  Google Scholar

[12]

M. V. Klibanov and F. Santosa, A computational quasi-reversibility method for Cauchy problems for Laplace's equation, SIAM J. Appl. Math, 51 (1991), 1653-1675. doi: 10.1137/0151085.  Google Scholar

[13]

M. V. Klibanov and J. Malinsky, Newton-Kantorovich method for 3-dimensional potential inverse scattering problem and stability for the hyperbolic Cauchy problem with time dependent data, Inverse Problems, 7 (1991), 577-596. doi: 10.1088/0266-5611/7/4/007.  Google Scholar

[14]

M. V. Klibanov and A. Timonov, Carleman Estimates for Coefficient Inverse Problems and Numerical Applications, VSP, Utrecht, The Netherlands, 2004. doi: 10.1515/9783110915549.  Google Scholar

[15]

M. V. Klibanov and N. T. Thành, Recovering dielectric constants of explosives via a globally strictly convex cost functional, SIAM J. Appl. Math, 75 (2015), 518-537. doi: 10.1137/140981198.  Google Scholar

[16]

M. V. Klibanov, Carleman estimates for the regularization of ill-posed Cauchy problems, Applied Numerical Mathematics, 94 (2015), 46-74. doi: 10.1016/j.apnum.2015.02.003.  Google Scholar

[17]

M. G. Krein, On a method of effective solution of an inverse boundary problem, Dokl. Akad. Nauk SSSR, 94 (1954), 987-990 (in Russian).  Google Scholar

[18]

A. V. Kuzhuget, L. Beilina, M. V. Klibanov, A. Sullivan, L. Nguyen and M. A. Fiddy, Blind backscattering experimental data collected in the field and an approximately globally convergent inverse algorithm, Inverse Problems, 28 (2012), 095007. doi: 10.1088/0266-5611/28/9/095007.  Google Scholar

[19]

A. V. Kuzhuget, L. Beilina, M. V. Klibanov, A. Sullivan, L. Nguyen and M. A. Fiddy, Quantitative image recovery from measured blind backscattered data using a globally convergent inverse method, IEEE Transaction for Geoscience and Remote Sensing, 51 (2013), 2937-2948. doi: 10.1109/TGRS.2012.2211885.  Google Scholar

[20]

R. Lattes and J.-L. Lions, The Method of Quasireversibility: Applications to Partial Differential Equations, Elsevier, New York, 1969. Google Scholar

[21]

D. Lesnic, G. Wakefield, B. D. Sleeman and J. R. Okendon, Determination of the index of refraction of ant-reflection coatings, Mathematics-in-Industry Case Studies Journal, 2 (2010), 155-173. Google Scholar

[22]

B. M. Levitan, Inverse Sturm-Liouville Problems, VSP, Utrecht, 1987.  Google Scholar

[23]

N. Nguyen, D. Wong, M. Ressler, F. Koenig, B. Stanton, G. Smith, J. Sichina and K. Kappra, Obstacle avolidance and concealed target detection using the Army Research Lab ultra-wideband synchronous impulse Reconstruction (UWB SIRE) forward imaging radar, Proc. SPIE 6553 (2007), 65530H, 8pp. Google Scholar

[24]

V. G. Romanov, Inverse Problems of Mathematical Physics, VNU Science Press, b.v., Utrecht, 1987.  Google Scholar

[25]

C. Sanderson, Armadillo: An Open Source C++ Linear Algebra Library for Fast Prototyping and Computationally Intensive Experiments, Technical Report, NICTA, 2010. Google Scholar

[26]

J. A. Scales, M. L. Smith and T. L. Fischer, Global optimization methods for multimodal inverse problems, J. Computational Physics, 103 (1992), 258-268. Google Scholar

[27]

, Table of dielectric constants,, , ().   Google Scholar

[28]

N. T. Thành, L. Beilina, M. V. Klibanov and M. A. Fiddy, Reconstruction of the refractive index from experimental backscattering data using a globally convergent inverse method, SIAM Journal on Scientific Computing, 36 (2014), B273-B293. doi: 10.1137/130924962.  Google Scholar

[29]

N. T. Thành, L. Beilina, M. V. Klibanov and M. A. Fiddy, Imaging of buried objects from experimental backscattering time dependent measurements using a globally convergent inverse algorithm, SIAM J. Imaging Sciences, 8 (2015), 757-786. doi: 10.1137/140972469.  Google Scholar

[30]

A. N. Tikhonov, A. V. Goncharsky, V. V. Stepanov and A. G. Yagola, Numerical Methods for the Solution of Ill-Posed Problems, Kluwer, London, 1995. doi: 10.1007/978-94-015-8480-7.  Google Scholar

[31]

B. R. Vainberg, Principles of radiation, limiting absorption and limiting amplitude in the general theory of partial differential equations, Russian Math. Surveys, 21 (1966), 115-194.  Google Scholar

[32]

B. R. Vainberg, Asymptotic Methods in Equations of Mathematical Physics, Gordon and Breach Science Publishers, New York, 1989.  Google Scholar

[33]

V. S. Vladimirov, Equations of Mathematical Physics, M. Dekker, New York, 1971.  Google Scholar

show all references

References:
[1]

L. Beilina and M. V. Klibanov, Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems, Springer, New York, 2012. doi: 10.1007/978-1-4419-7805-9.  Google Scholar

[2]

L. Beilina and M. V. Klibanov, A new approximate mathematical model for global convergence for a coefficient inverse problem with backscattering data, J. Inverse and Ill-Posed Problems, 20 (2012), 512-565. doi: 10.1515/jip-2012-0063.  Google Scholar

[3]

L. Beilina, Energy estimates and numerical verification of the stabilized domain decomposition finite element/finite difference approach for the Maxwell's system in time domain, Central European Journal of Mathematics, 11 (2013), 702-733. doi: 10.2478/s11533-013-0202-3.  Google Scholar

[4]

L. Bourgeois and J. Dardé, About stability and regularization of ill-posed elliptic Cauchy problems: the case of Lipschitz domains, Applicable Analalysis, 89 (2010), 1745-1768. doi: 10.1080/00036810903393809.  Google Scholar

[5]

L. Bourgeois and J. Dardé, A duality-based method of quasi-reversibility to solve the Cauchy problem in the presence of noisy data, Inverse Problems, 26 (2010), 095016, 21pp. doi: 10.1088/0266-5611/26/9/095016.  Google Scholar

[6]

L. Bourgeois and J. Dardé, The "exterior approach" to solve the inverse obstacle problem for the Stokes system, Inverse Problems and Imaging, 8 (2014), 23-51. doi: 10.3934/ipi.2014.8.23.  Google Scholar

[7]

H. T. Chuah, K. Y. Lee and T. W. Lau, Dielectric constants of rubber and oil palm leaf samples at X-band, IEEE Trans. on Geoscience and Remote Sensing, 33 (1995), 221-223. doi: 10.1109/36.368205.  Google Scholar

[8]

S. I. Kabanikhin, On linear regularization of multidimensional inverse problems for hyperbolic equations, Soviet Mathematics Doklady, 40 (1990), 579-583.  Google Scholar

[9]

S. I. Kabanikhin, A. D. Satybaev and M. A. Shishlenin, Direct Methods of Solving Inverse Hyperbolic Problems, VSP, Utrecht, 2005.  Google Scholar

[10]

S. I. Kabanikhin, K. K. Sabelfeld, N. S. Novikov and M. A. Shishlenin, Numerical solution of the multidimensional Gelfand-Levitan equation, J. Inverse and Ill-Posed Problems, 23 (2015), 439-450. doi: 10.1515/jiip-2014-0018.  Google Scholar

[11]

A. L. Karchevsky, M. V. Klibanov, L. Nguyen, N. Pantong and A. Sullivan, The Krein method and the globally convergent method for experimental data, Applied Numerical Mathematics, 74 (2013), 111-127. doi: 10.1016/j.apnum.2013.09.003.  Google Scholar

[12]

M. V. Klibanov and F. Santosa, A computational quasi-reversibility method for Cauchy problems for Laplace's equation, SIAM J. Appl. Math, 51 (1991), 1653-1675. doi: 10.1137/0151085.  Google Scholar

[13]

M. V. Klibanov and J. Malinsky, Newton-Kantorovich method for 3-dimensional potential inverse scattering problem and stability for the hyperbolic Cauchy problem with time dependent data, Inverse Problems, 7 (1991), 577-596. doi: 10.1088/0266-5611/7/4/007.  Google Scholar

[14]

M. V. Klibanov and A. Timonov, Carleman Estimates for Coefficient Inverse Problems and Numerical Applications, VSP, Utrecht, The Netherlands, 2004. doi: 10.1515/9783110915549.  Google Scholar

[15]

M. V. Klibanov and N. T. Thành, Recovering dielectric constants of explosives via a globally strictly convex cost functional, SIAM J. Appl. Math, 75 (2015), 518-537. doi: 10.1137/140981198.  Google Scholar

[16]

M. V. Klibanov, Carleman estimates for the regularization of ill-posed Cauchy problems, Applied Numerical Mathematics, 94 (2015), 46-74. doi: 10.1016/j.apnum.2015.02.003.  Google Scholar

[17]

M. G. Krein, On a method of effective solution of an inverse boundary problem, Dokl. Akad. Nauk SSSR, 94 (1954), 987-990 (in Russian).  Google Scholar

[18]

A. V. Kuzhuget, L. Beilina, M. V. Klibanov, A. Sullivan, L. Nguyen and M. A. Fiddy, Blind backscattering experimental data collected in the field and an approximately globally convergent inverse algorithm, Inverse Problems, 28 (2012), 095007. doi: 10.1088/0266-5611/28/9/095007.  Google Scholar

[19]

A. V. Kuzhuget, L. Beilina, M. V. Klibanov, A. Sullivan, L. Nguyen and M. A. Fiddy, Quantitative image recovery from measured blind backscattered data using a globally convergent inverse method, IEEE Transaction for Geoscience and Remote Sensing, 51 (2013), 2937-2948. doi: 10.1109/TGRS.2012.2211885.  Google Scholar

[20]

R. Lattes and J.-L. Lions, The Method of Quasireversibility: Applications to Partial Differential Equations, Elsevier, New York, 1969. Google Scholar

[21]

D. Lesnic, G. Wakefield, B. D. Sleeman and J. R. Okendon, Determination of the index of refraction of ant-reflection coatings, Mathematics-in-Industry Case Studies Journal, 2 (2010), 155-173. Google Scholar

[22]

B. M. Levitan, Inverse Sturm-Liouville Problems, VSP, Utrecht, 1987.  Google Scholar

[23]

N. Nguyen, D. Wong, M. Ressler, F. Koenig, B. Stanton, G. Smith, J. Sichina and K. Kappra, Obstacle avolidance and concealed target detection using the Army Research Lab ultra-wideband synchronous impulse Reconstruction (UWB SIRE) forward imaging radar, Proc. SPIE 6553 (2007), 65530H, 8pp. Google Scholar

[24]

V. G. Romanov, Inverse Problems of Mathematical Physics, VNU Science Press, b.v., Utrecht, 1987.  Google Scholar

[25]

C. Sanderson, Armadillo: An Open Source C++ Linear Algebra Library for Fast Prototyping and Computationally Intensive Experiments, Technical Report, NICTA, 2010. Google Scholar

[26]

J. A. Scales, M. L. Smith and T. L. Fischer, Global optimization methods for multimodal inverse problems, J. Computational Physics, 103 (1992), 258-268. Google Scholar

[27]

, Table of dielectric constants,, , ().   Google Scholar

[28]

N. T. Thành, L. Beilina, M. V. Klibanov and M. A. Fiddy, Reconstruction of the refractive index from experimental backscattering data using a globally convergent inverse method, SIAM Journal on Scientific Computing, 36 (2014), B273-B293. doi: 10.1137/130924962.  Google Scholar

[29]

N. T. Thành, L. Beilina, M. V. Klibanov and M. A. Fiddy, Imaging of buried objects from experimental backscattering time dependent measurements using a globally convergent inverse algorithm, SIAM J. Imaging Sciences, 8 (2015), 757-786. doi: 10.1137/140972469.  Google Scholar

[30]

A. N. Tikhonov, A. V. Goncharsky, V. V. Stepanov and A. G. Yagola, Numerical Methods for the Solution of Ill-Posed Problems, Kluwer, London, 1995. doi: 10.1007/978-94-015-8480-7.  Google Scholar

[31]

B. R. Vainberg, Principles of radiation, limiting absorption and limiting amplitude in the general theory of partial differential equations, Russian Math. Surveys, 21 (1966), 115-194.  Google Scholar

[32]

B. R. Vainberg, Asymptotic Methods in Equations of Mathematical Physics, Gordon and Breach Science Publishers, New York, 1989.  Google Scholar

[33]

V. S. Vladimirov, Equations of Mathematical Physics, M. Dekker, New York, 1971.  Google Scholar

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