Abstract
The paper presents a new method of determining 3D permittivity profile using electromagnetic measurements in the closed waveguide system. The method is based on the application of artificial neural network as a numerical inverter, and on the approximation of 3D profile with quadratic polynomial function. The neural network is trained with numerical data obtained with FDTD modeling of the electromagnetic system. Special criteria for choice of a number of hidden layer neurons are presented. The results of numerical modeling show possibility of determination of permittivity profile with a relative error less than 10%.
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References
Li, X., Davis, S.K., Hagness, S.C., Van Der Weide, D.W., Van Veen, B.D.: Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms. IEEE Trans. Microw. Theor. Tech. 52(8), 1856–1865 (2004)
Belkebir, K., Kleinman, R.E., Pichot, C.: Microwave imaging: location and shape reconstruction from multifrequency scattering data. IEEE Trans. Microw. Theory Tech. 45(4), 469–476 (1997)
Qaddoumi, N., Carriveau, G., Ganchev, S., Zoughi, R.: Microwave imaging of thick composite panels with defects. Mater. Eval. 53(8), 926–929 (1995)
Bykov, Y.V., Rybakov, K.I., Semenov, V.E.: High-temperature microwave processing of materials. J. Phys. D Appl. Phys. 34(13), R55–R57 (2001)
Brovko, A.V., Murphy, E.K., Yakovlev, V.V.: Waveguide microwave imaging: neural network reconstruction of functional 2-D permittivity profiles. IEEE Trans. Microw. Theory Tech. 57(2), 406–414 (2009)
Myers, R.H., Montgomery, D.C., Anderson-Cook, C.M.: Response Surface Methodology Process and Product Optimization Using Designed Experiments, 3rd edn. Wiley, New York (2009)
Schwenker, F., Kestler, H.A., Palm, G.: Three learning phases for radial-basis-function networks. Neural Netw. 14, 439–458 (2001)
QuickWave-3 DTM, QWED Sp. z o.o., ul. Nowowiejska 28, lok. 32, 02-010 Warsaw, Poland. http://www.qwed.com.pl/. Accessed 16 Dec 2017
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Abrosimov, M., Brovko, A., Pakharev, R., Pudikov, A., Reznikov, K. (2019). Reconstruction of 3D Permittivity Profile of a Dielectric Sample Using Artificial Neural Network Mathematical Model and FDTD Simulation. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-91192-2_27
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DOI: https://doi.org/10.1007/978-3-319-91192-2_27
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Online ISBN: 978-3-319-91192-2
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