Near-to-far-field transform sample reduction through statistical analysis
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Universidade Federal de Minas Gerais
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Techniques such as the Finite-Difference Time-Domain (FDTD) method have been largely used to study Ultra Wide Band (UWB) antennas. However, those time-domain techniques require an extensive volume of samples in time as well as in space. They also produce a massive amount of output values to describe the electromagnetic field radiation over time. In this work, the FDTD method is adopted for the near-field calculation. Then, a Near-to-Far-Field (NFF) Transform based on Spherical Multipole Expansion is implemented to determine the far field. This paper is a proposal of reducing significantly the volume of near-field data that is given to the NFF Transform, which presents considerable computational processing cost. Characteristics of this transform and the statistical nature of the FDTD output for an antenna fed by a Gaussian pulse are the basis for this approach. Reliable radiation patterns were obtained for near-field sample reductions greater than 80%. Although this research is intended for UWB antennas, this paper presents preliminary results for this statistical analysis initially for a half-wave length dipole.
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Analise estocástica, Campos eletromagnéticos - Matemática, Ondas eletromagnéticas - Transmissão
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Electromagnetic analysis, Finite-Difference Time-Domain (FDTD) methods, time-domain antenna analysis, spherical harmonic analysis, Near-to-Far-Field Transform, statistical analysis, Computational Cost , Electromagnetic Field , Far-field , Basic Approach , Radiation Pattern , Finite-difference Time-domain , Time-domain Method , Ultra-wideband , Gaussian Pulse , Feed Antenna , Octupole , Time-domain Technique , Spherical Expansion , Root Mean Square Error , Discretion , Data Reduction , Magnetic Moment , Statistical Processing , Signal Processing Techniques , Electric Dipole Moment , Antenna Geometry , Xz Plane
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https://ieeexplore.ieee.org/document/8568947