NF–FF transformation with cylindrical scanning from nonuniformly distributed data

Two efficient probe-compensated near-field-far-field (NF-FF) transformation techniques with cylindrical scanning requiring a minimum number of irregularly spaced data, are proposed. Singular value decomposition (SVD) method is applied to evaluate the uniformly distributed samples, whose positions are fixed by a nonredundant sampling representation of the field, from the irregularly spaced ones. Then, the voltage data needed by standard NF-FF transformation or by a non-conventional one recently developed by the authors are efficiently evaluated via an optimal sampling interpolation algorithm.