NF–FF Transformation with Bi-Polar Scanning From Nonuniformly Spaced Data
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NF–FF Transformation with Bi-Polar Scanning From Nonuniformly Spaced DataAbstract
An efficient probe compensated near-field–far-fieldtransformation technique from irregularly spaced bi-polar samples is developed in this paper. The singularvalue decomposition method is applied to recover theuniformly distributed data, whose position is fixed by anonredundant sampling representation of theelectromagnetic field. Then an optimal samplinginterpolation algorithm is used for reconstructing theplane-rectangular samples required to carry out thestandard near-field–far-field transformation. This laststep is required to benefit by the use of FFT algorithm.Numerical examples are reported to assess theeffectiveness of the proposed technique.
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