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    NF–FF transformation with bi-polar scanning from nonuniformly spaced data

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    An efficient probe compensated near-field-far-field transformation technique from irregularly spaced bipolar samples is developed in this paper. The singular value decomposition method is applied to recover the uniformly distributed data, whose position is fixed by a nonredundant sampling representation of the electromagnetic field. Then an optimal sampling interpolation algorithm is used for reconstructing the plane-rectangular samples required to carry out the standard near-field-far-field transformation. This last step is required to benefit by the use of FFT algorithm. Numerical examples are reported to assess the effectiveness of the proposed technique

    Error filtering in the NF–FF transformation with cylindrical scanning

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    Measurement techniques in the antenna near-field (NF) region have a significant role in the evaluation of far-field (FF) patterns. In fact, for electrically large antennas the required size of the conventional FF range becomes prohibitively large. Moreover, NF facilities provide a controlled and secure environment, and all weather capability. Among the NF-FF transformation techniques, that employing the cylindrical scanning (Fig. 1) is particularly attractive. In fact, at the cost of a moderate increase in the analytical and computational complication with respect to the planar scannings, it allows the reconstruction of the antenna complete radiation pattern save for the zones surrounding the spherical poles
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