Systematic Method for Producing Scattered Field Data
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Systematic Method for Producing Scattered Field Data R. S. Ritter 1 , M. Fiddy 2 1. Olivet Nazarene University, Bourbonnais, IL, USA 2. University of North Carolina - Charlotte, Charlotte, NC, USA Introduction: One of the greatest challenges in developing algorithms for imaging is the lack of suitable scattered field data from known structures. Such a method is proposed and demonstrated utilizing COMSOL to create a virtual testing environment. Computational Methods: The finite element method in COMSOL is utilized to solve for the scattered field in this model using the following relationship [1] Results: Data generated from this method were processed using imaging algorithms in [2] and the results then compared with measured data from real test [3] for comparison Conclusions: While imaging result evaluations can at times be somewhat subjective, it is evident from Table 1 that the data from this newly developed virtual testing method is consistent with the data obtained from similar real life experiments. References: 1. Jin, J, The Finite Element Method in Electromagnetics, IEEE Press, New York, 2002. 2. Fiddy, M, and Ritter, R, Introduction to Imaging from Scattered Fields, CRC Press/Taylor and Francis, 2014 3. Eyraud C., et al. “Laboratory controlled data for validating inversion algorithms”, Institut Fresnel, UMR-CNR 6133, France. Figure 2. (a) Basic Model (b) Mesh Construction (c) Graphical Representation of E z (d) Normalized Representation of E z Table 1. Simulated vs Measured Data Images for Various Targets Figure 1. Experimental Setup Target Setup FoamDielExt FoamMetExt FoamTwinDiel Figure 2. Mathematical Model z z r z r z r J Z jk E k y E y x E x 0 0 2 0 1 1 (a) (b) (c) (d) FoamDielInt Simulated Data Measured Data Excerpt from the Proceedings of the 2015 COMSOL Conference in Boston
Transcript of Systematic Method for Producing Scattered Field Data
Systematic Method for Producing Scattered Field Data R. S. Ritter1, M. Fiddy2
1. Olivet Nazarene University, Bourbonnais, IL, USA2. University of North Carolina - Charlotte, Charlotte, NC, USA
Introduction: One of the greatest challengesin developing algorithms for imaging is thelack of suitable scattered field data fromknown structures. Such a method isproposed and demonstrated utilizingCOMSOL to create a virtual testingenvironment.
Computational Methods: The finite elementmethod in COMSOL is utilized to solve forthe scattered field in this model using thefollowing relationship [1]
Results: Data generated from thismethod were processed using imagingalgorithms in [2] and the results thencompared with measured data from realtest [3] for comparison
Conclusions: While imaging resultevaluations can at times be somewhatsubjective, it is evident from Table 1 thatthe data from this newly developed virtualtesting method is consistent with the dataobtained from similar real life experiments.References:1. Jin, J, The Finite Element Method in
Electromagnetics, IEEE Press, New York,2002.
2. Fiddy, M, and Ritter, R, Introduction toImaging from Scattered Fields, CRCPress/Taylor and Francis, 2014
3. Eyraud C., et al. “Laboratory controlled datafor validating inversion algorithms”, InstitutFresnel, UMR-CNR 6133, France.
Figure 2. (a) Basic Model (b) Mesh Construction (c) Graphical Representation of Ez (d) Normalized Representation of Ez
Table 1. Simulated vs Measured Data Images for Various Targets
Figure 1. Experimental Setup
Target Setup
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Figure 2. Mathematical Model
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Excerpt from the Proceedings of the 2015 COMSOL Conference in Boston
