9 research outputs found

    Herramientas software en el mundo del electromagnetismo computacional

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    A partir de los años 80 y durante décadas, las herramientas de simulación empleadas en el mundo electromagnético computacional han tenido una gran demanda, pero hoy en día, gracias a los avances tecnológicos relacionados sobre todo con la computación y los métodos numéricos, ha hecho posible que, con mayor facilidad, se pueda investigar y realizar simulaciones electromagnéticas. Estas herramientas software abarcan un amplio margen de análisis y diseño, como son: el estudio de la compatibilidad electromagnética entre equipos en diferentes entornos, el diseño y análisis de antenas, análisis y diseño de circuitos, componentes pasivos de microondas, cálculo de la sección radar (Radar Cross Section, RCS) y de imágenes ISAR (Inverse Synthetic Aperture Radar), análisis de antenas embarcadas sobre estructuras complejas, análisis Doppler, radio propagación tanto en entornos exteriores como en interiores, análisis de sistemas radio y estudio del acoplo entre antenas, etc

    A Novel Faceted UTD Solver in Altair Feko for Antenna Placement Applications

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    2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), , 30/05/2022-04/06/2022, , EspañaA new Faceted UTD solver as implemented in Altair Feko is introduced here. The solver is based on UTD (Uniform Theory of Diffraction) applied to planar and arbitrarily convex curved surfaces meshed with planar triangles. It is most suitable for antenna placement applications in the high frequency regime

    Full-Wave Computation of Monostatic RCS Using Ray-Tracing and Adaptive Macro-Basis Functions

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    This article presents a technique for the computation of the monostatic radar cross section of complex objects based on a combination of macro-basis functions (MBFs) and the multilevel fast multipole algorithm. An initial pool of excitation-independent MBFs is first obtained, generating the corresponding reduced coupling matrix as well as the multipole data. For each excitation, ray-tracing processing is performed, extracting a number of critical points that are used to obtain a mask that allows to dynamically select the basis functions to be considered in the analysis. This strategy allows a noticeable reduction in the size of the problems with minimal CPU-time preprocessing overhead.Ministry of Economy and Competitiveness and European Unio

    EM Modelling of Monostatic RCS for Different Complex Targets in the Near-Field Range: Experimental Evaluation for Traffic Applications

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    An evaluation of monostatic radar cross section (RCS) response in the near-field range was performed for several targets with different and complex topologies. The main objective was to provide and validate an efficient tool based on electromagnetic (EM) simulations to characterize a traffic scenario. Thus, a novel method based on the combination of geometrical theory of diffraction (GTD) and physical optics (PO) was used to estimate RCS, and the results were compared with the method of moments (MoM) methodology. The simulations were xperimentally validated using a commercial vehicular frequency-modulated continuous wave (FMCW) radar at 24 GHz. With this simple measurement system, RCS measurements can be made using an easier and cheaper process to obtain RCS response in the near-field range, which is the most usual situation for traffic applications. A reasonable agreement between the measurements and the EM simulations was observed, validating the proposed methodology in order to efficiently characterize the RCS of targets typically found in real traffic scenarios.Spanish Ministry of Economy and Competitiveness, European Union and Junta de Comunidades de Castilla La Manch

    Efficient Technique for the Analysis of Electromagnetic Problems Involving Antenna Trajectories in Complex Scenarios

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    This letter presents an efficient approach for the electromagnetic analysis of complex scenarios involving transmitting antennas moving along predetermined trajectories. In order to efficiently reduce the size of the problem for each position of the antenna, we propose a technique based on macro basis functions that are dynamically generated using a ray-tracing analysis. The multilevel fast multipole algorithm is also included in order to reduce the memory consumption and speed up the solution process. Some representative test cases serve to validate the efficiency and performance of the proposed approach.Ministry of Economy and Competitiveness, Junta de Comunidades de Castilla La Manch, University of Alcal

    Efficient computation of the reduced matrix of MLFMA-CBFM for electrically large blocks

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    In recent years, the characteristic basis function method has been developed as an efficient approach for the solution of large electromagnetic radiation or scattering problems. According to this technique, the currents over the scenario under analysis are defined using a set of pre-computed characteristic basis functions, associated with a number of blocks into which the geometry is partitioned. This involves some computational advantages due to the reduction of the number of unknowns compared to conventional approaches. However, additional pre-processing time is introduced due to the computation of the CBFs and the reduced coupling matrix. A novel strategy is presented in this study in order to accelerate the generation of the reduced matrix, based on the application of the multilevel fast multipole algorithm.Spanish Ministry of Economy and Competitiveness Project, Junta de Comunidades de Castilla La Mancha and Universidad de Alcal

    Comparison between specialized quadrature rules for method of moments with NURBS modelling applied to periodic multilayer structures

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    A comparison between Ma-Rokhlin-Wandzura (MRW) and double exponential (DE) quadrature rules for numerical integration of method of moments (MoM) matrix entries with singular behavior is presented for multilayer periodic structures. Non Uniform Rational B-Splines (NURBS) modelling of the layout surfaces is implemented to provide high-order description of the geometry. The comparison is carried out in order to show that quadrature rule is more suitable for MoM matrix computation in terms of sampling, accuracy of computation of MoM matrix, and CPU time consumption. The comparison of CPU time consumption shows that the numerical integration with MRW samples is roughly 15 times faster than that numerical integration using DE samples for results with similar accuracies. These promising results encourage to carry out a comparison with results obtained in previous works where a specialized approach for the specific analysis of split rings geometries was carried out. This previous approach uses spectral MoM version with specific entire domain basis function with edge singularities defined on split ring geometry. Thus, the previous approach provides accurate results with low CPU time consumption to be compared. The comparison shows that CPU time consumption obtained by MRW samples is similar to the CPU time consumption required by the previous work of specific analysis of split rings geometries. The fact that similar CPU time consumptions are obtained by MRW quadrature rules for modelling of general planar geometries and by the specialized approach for split ring geometry provides an assessment for the usage of the MRW quadrature rules and NURBS modelling. This fact provides an efficient tool for analysis of reflectarray elements with general planar layout geometries, which is suitable for reflectarray designs under local periodicity assumption where a huge number of periodic multilayer structures have to be analyzed.Agencia Estatal de InvestigaciónJunta de Comunidades de Castilla-La Manch

    Editorial: Herramientas software en el mundo del electromagnetismo

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    Efficient Strategy for the Parallelization of the Multilevel Fast Multipole Algorithm Using CUDA

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    The multilevel fast multipole algorithm is a popular technique that enables the efficient solution of the method of moments (MoM) matrix equations. In this work, the authors address the adaptation of this method to the compute unified device architecture (CUDA), a relatively new computing infrastructure provided by NVIDIA, and the authors take into account some of the limitations that appear when the geometry under analysis becomes too large to fit into the memory of graphics processing unitsSpanish Ministerio de Economia and Competitividad
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