Automated design of planar structures with optimized radiation or scattering properties
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/375465
Correu electrònic de l'autorntapiafolchgmail.com
Tutor / directorÚbeda Farre, Eduard
Tipus de documentTreball Final de Grau
Data2022-10-27
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The visibility that an object has with respect to a Radar is called the Radar Cross Section (RCS), and it is obtained from the electromagnetic dispersion in the far field when the object is struck by an electromagnetic plane wave. In order to be able to calculate the RCS of an arbitrary object, the surface of the object is meshed and basis functions of current discretization are applied, from which an approximation of the RCS is obtained. Typically, the basis functions adopted in triangular meshes are the RWG functions. The design and synthesis of new structures with enhanced electromagnetic signature requires on the one hand the meshing and calculation of the RCS for many possible candidates, and on the other, the choice of an itinerary of intermediate solutions that leads to an almost optimal solution. In practice, this procedure is computationally expensive. Recently, a procedure has been developed that streamlines the analysis of the electromagnetic scattering of planar conductive structures. In this work, this tool has been used to efficiently search for a solution with an improved RCS. This tool, which we call the thick-surface approach, makes it possible to obtain the mesh of any complex planar structure from the concatenation and displacement of the known mesh of a fundamental basic cell. This is an advantage over traditional methods, which required re-meshing for any composite planar structure. The objective of this work is to find the optimal distribution that the conducting planar structure should have so that its RCS becomes maximum. For this purpose, a matrix is used to define where we want the initial cell to be cloned. Using genetic algorithms, an example of a stochastic optimization algorithm, the most suitable distribution of this position matrix to have the maximum RCS is searched for and found. In this work, the optimization is carried out through the Matlab program, where the necessary code is written to be able to carry out the simulations.
TitulacióGRAU EN ENGINYERIA DE SISTEMES AEROESPACIALS/GRAU EN ENGINYERIA DE SISTEMES DE TELECOMUNICACIÓ (Pla 2015)
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memoria.pdf | 9,413Mb | Visualitza/Obre |