An efficient and innovative near-field-far-field transformation technique with a hybrid cylindrical and bi-polar scanning is proposed in this article. It allows one to considerably reduce the truncation error, which unavoidably affects the cylindrical near-field-far-field transformation. To this end, nonredundant measurements are acquired by employing a cylindrical facility integrated with a rotating arm, which allows to collect the bi-polar data on the upper and lower surfaces of the cylinder. Then, by applying the equivalence theorem, the knowledge of the electric field tangential components on the top and bottom of the cylinder is properly exploited to recover the nonredundant cylindrical near-field data external to the measurement zone. At last, the near-field data needed to perform the classical near-field-far-field transformation with cylindrical scanning are efficiently computed via an optimal sampling interpolation algorithm. The effectiveness of the approach in reducing the truncation error is assessed by numerical tests.

An effective NF–FF transformation with a hybrid cylindrical and bipolar scanning

D'AGOSTINO, Francesco;FERRARA, Flaminio;GENNARELLI, Claudio;GENNARELLI, GIANLUCA;GUERRIERO, ROCCO
2009

Abstract

An efficient and innovative near-field-far-field transformation technique with a hybrid cylindrical and bi-polar scanning is proposed in this article. It allows one to considerably reduce the truncation error, which unavoidably affects the cylindrical near-field-far-field transformation. To this end, nonredundant measurements are acquired by employing a cylindrical facility integrated with a rotating arm, which allows to collect the bi-polar data on the upper and lower surfaces of the cylinder. Then, by applying the equivalence theorem, the knowledge of the electric field tangential components on the top and bottom of the cylinder is properly exploited to recover the nonredundant cylindrical near-field data external to the measurement zone. At last, the near-field data needed to perform the classical near-field-far-field transformation with cylindrical scanning are efficiently computed via an optimal sampling interpolation algorithm. The effectiveness of the approach in reducing the truncation error is assessed by numerical tests.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/2283926
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