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This paper presents an effective method to estimate the permittivity profile from the scattered field measured outside scatterers by minimizing the non-radiating objective function using Monte Carlo approach. Since the non-radiating objective function is inherently non-linear as reported in [1], it is necessary to use some random perturbation to prevent the permittivity profile estimation from getting...
Object imaging and object characterization based on electromagnetic inverse scattering involves retrieving the equivalent source from the scattered field measured outside the source region due to a known incident field. The solution to the inverse equivalent source problem is not unique. In (S. Shahir, M. Mohajer, A. Rohani, and S. Safavi-Naeini, “Permittivity profile estimation based on nonradiating...
This paper presents a numerical approach for a scatterer localization based on the non-radiating equivalent source. We have been able to localize a scatterer by minimizing the non-radiating objective function and applying some constraints. Simulation is also used to validate its performance. The scatterer localization approach can be utilized as an EMISS calibration process for high-frequency tomographic...
This paper presents a very simple and effective numerical approach for an electromagnetic inverse scattering systems (EMISS) characterization based on 2D Green's function analysis. For this purpose, a number of Green's function matrices are constructed for various random distributions of source elements and observation point positions. We have employed the numerical rank of the Green's function matrices...
In this paper, a design methodology for a stand-alone embedded vision system (SEVS) is presented. The combination of region-based features and fuzzy theory defines the system, which is fast, flexible, and efficient. The proposed system can help to achieve flexible manufacturing goals and enhance safety. The advantages of the proposed system over traditional non-imaging sensors for manufacturing purposes...
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