2008
DOI: 10.1002/mop.23709
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Cylindrical near‐to‐far‐field transformation system for radar antennas: Design, validation, and application

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Cited by 5 publications
(4 citation statements)
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“…In [Burgos, 2008], the description of the cylindrical near-to-far-field transformation, considering probe correction, its validation and its application is explained. By using Reciprocity Theorem, the electric field can be expressed as a combination of the four weighting functions (for AUT and probe), obtaining the expression proposed by Leach and Paris in [Leach & Paris, 1973]:…”
Section: Near-to-far-field Transformation Algorithm and Its Validationmentioning
confidence: 99%
“…In [Burgos, 2008], the description of the cylindrical near-to-far-field transformation, considering probe correction, its validation and its application is explained. By using Reciprocity Theorem, the electric field can be expressed as a combination of the four weighting functions (for AUT and probe), obtaining the expression proposed by Leach and Paris in [Leach & Paris, 1973]:…”
Section: Near-to-far-field Transformation Algorithm and Its Validationmentioning
confidence: 99%
“…Using these data and accordingly with Eq. , far‐field distance should be 36 m. The latter is a limitation when measurement is made in an anechoic chamber, under these conditions is necessary to transform near‐field measurement into far‐field calculations . Thus, we propose a method for near‐field to far‐field transformation by using Pocklington equation .…”
Section: Introductionmentioning
confidence: 99%
“…In [59], the description of the cylindrical near-to-far-field transformation, considering probe correction applied in this study, its validation and its application is explained. By using the Reciprocity Theorem, the electric field can be expressed as a combination of the four weighting functions (for AUT and probe), obtaining the expression proposed by Leach in [58]: The model developed for this application introduces the probe compensation method proposed by Hansen in [55], and usually applied to the spherical near-to-far-field transformation algorithms.…”
Section: 3-near-to-far-field Transformation Algorithmmentioning
confidence: 99%
“…With this change, the far-field in the final coordinate system could be achieved without needing an interpolation of the radiation pattern results. The previous tool has been validated using both simulations and measurements [59], using as simulated AUT, i.e. the AUT employed for the system validation, an array of 28x16 λ/2 dipoles vertically displaced over a ground plane at a distance equal to λ/4.…”
Section: 3-near-to-far-field Transformation Algorithmmentioning
confidence: 99%