Electromagnetic retrieval of missing fibers in periodic fibered laminates via sparsity concepts

Electromagnetic modeling and imaging of fibered laminates with some fibers missing is investigated, this extending to similarly organized photonic crystals. Parallel circular cylinders are periodically set in a homogeneous layer (matrix) sandwiched between two homogeneous half-spaces. Absent fibers destroy the periodicity. An auxiliary periodic structure (supercell) provides a subsidiary model considered using method tailored to standard periodic structures involving the Floquet theorem to decompose the fields. Imaging approaches from the Lippman-Schwinger integral field formulation as one-shot MUltiple SIgnal Classification (MUSIC) with pointwise scatterers assumptions and an iterative, sparsity-constrained solution are developed. Numerical simulations illustrate the direct model and imaging.

[1]  Massimo Fornasier,et al.  Compressive Sensing , 2015, Handbook of Mathematical Methods in Imaging.

[2]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[3]  Jian Li,et al.  SPICE: A Sparse Covariance-Based Estimation Method for Array Processing , 2011, IEEE Transactions on Signal Processing.

[4]  Andreas Nocke,et al.  Review on quality assurance along the CFRP value chain – Non-destructive testing of fabrics, preforms and CFRP by HF radio wave techniques , 2015 .

[5]  Giovanni Leone,et al.  Fault detection in metallic grid scattering. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

[6]  W. Lauriks,et al.  Acoustic response of a rigid-frame porous medium plate with a periodic set of inclusions. , 2007, The Journal of the Acoustical Society of America.

[7]  Toke Koldborg Jensen,et al.  An adaptive pruning algorithm for the discrete L-curve criterion , 2007 .

[8]  Dominique Lesselier,et al.  Localization and characterization of simple defects in finite-sized photonic crystals. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[9]  Dominique Lesselier,et al.  Electromagnetic modeling of a periodic array of fibers embedded in a panel with multiple fibers missing , 2016 .

[10]  K.A. Michalski,et al.  Electromagnetic wave theory , 1987, Proceedings of the IEEE.

[11]  Dominique Lesselier,et al.  Electromagnetic small-scale modeling of composite panels involving periodic arrays of circular fibers , 2014 .

[12]  Pierluigi Crescenzi,et al.  Introduction to the theory of complexity , 1994, Prentice Hall international series in computer science.

[13]  J. C. Ye,et al.  A non-iterative method for the electrical impedance tomography based on joint sparse recovery , 2014, 1411.0516.

[14]  R.G. Baraniuk,et al.  Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.

[15]  Dominique Lesselier,et al.  Recursive matrix schemes for composite laminates under plane-wave and Gaussian beam illumination , 2015 .

[16]  P A Robinson,et al.  Formulation for electromagnetic scattering and propagation through grating stacks of metallic and dielectric cylinders for photonic crystal calculations. Part I. Method. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[17]  24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 , 2016, European Signal Processing Conference.

[18]  H. Ammari Mathematical and Statistical Methods for Multistatic Imaging , 2013 .