Abstract
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Classical near field to far field transformation algorithms are unable to deal with irregularly distributed measurement samples. As frequency increases, this may be a serious limitation in certain scenarios. In this paper a near field to far field transformation algorithm that works with samples over arbitrary measurement surfaces is investigated. The approach is based on the modeling of the measured fields using a spherical wave expansion. The spherical modes are obtained solving a linear system of equations using an iterative method. The algorithm is validated using analytical antenna models, showing controllable transformation errors. To reduce the computation time of the iterative solver, a matrix preconditioner implemented by means of a fast operator is presented. | |
International
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No |
Congress
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XXXIII SIMPOSIUM NACIONAL DE LA UNIÓN CIENTÍFICA INTERNACIONAL DE RADIO (URSI 2018) |
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960 |
Place
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Granada, España |
Reviewers
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Si |
ISBN/ISSN
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CDP08UPM |
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Start Date
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05/09/2018 |
End Date
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07/09/2018 |
From page
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1 |
To page
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4 |
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Actas XXXIII SIMPOSIUM NACIONAL DE LA UNIÓN CIENTÍFICA INTERNACIONAL DE RADIO (URSI 2018) |