We propose a novel Near-Field-Far-Field (NF-FF) transformation technique for aperture antennas and cylindrical NF scanning. It exploits a proper aperture field representation, based on the use of the Prolate Spheroidal Wave Functions (PSWFs), accounting for the a priori information on shape and size of the Antenna Under Test (AUT). It furthermore allows a fast NF acquisition by employing a continuous and synchronized movement of probe and AUT, as well as on a helicoidal scan based on a nonredundant field representation. The NF-FF transformation problem is formulated as the inversion of a linear relation linking the unknown PSWF expansion coefficients to the NF samples and solved by a regularized Singular Value Decomposition (SVD) approach. Experimental results show the effectiveness of the approach, and how it enables a serious reduction of the measurement points without impairing the far-field estimation accuracy.

A SVD-based approach to helicoidal NF–FF transformations

FERRARA, Flaminio;GENNARELLI, Claudio;GUERRIERO, ROCCO;
2010-01-01

Abstract

We propose a novel Near-Field-Far-Field (NF-FF) transformation technique for aperture antennas and cylindrical NF scanning. It exploits a proper aperture field representation, based on the use of the Prolate Spheroidal Wave Functions (PSWFs), accounting for the a priori information on shape and size of the Antenna Under Test (AUT). It furthermore allows a fast NF acquisition by employing a continuous and synchronized movement of probe and AUT, as well as on a helicoidal scan based on a nonredundant field representation. The NF-FF transformation problem is formulated as the inversion of a linear relation linking the unknown PSWF expansion coefficients to the NF samples and solved by a regularized Singular Value Decomposition (SVD) approach. Experimental results show the effectiveness of the approach, and how it enables a serious reduction of the measurement points without impairing the far-field estimation accuracy.
2010
9781424464319
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/2600930
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