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EnglishAn efficient technique to reconstruct the field radiated by an antenna in the far-field region from the knowledge of the nonuniformly spaced plane-polar data measured by a probe in the near-field region is developed in this work. The singular value decomposition method is applied to evaluate the uniformly distributed samples, whose positions are fixed by a nonredundant sampling representation of the field. Then the plane-rectangular near-field data needed to perform the classical probe-compensated near-field-far-field transformation are efficiently evaluated via the optimal sampling interpolation algorithm. As demonstrated by numerical tests, the far-field reconstruction process is accurate and stable.
| Titolo: | Far field reconstruction from nonuniform plane-polar data: a SVD based approach | |
| Autori: | ||
| Data di pubblicazione: | 2003 | |
| Rivista: | ||
| Abstract: | An efficient technique to reconstruct the field radiated by an antenna in the far-field region from the knowledge of the nonuniformly spaced plane-polar data measured by a probe in the near-field region is developed in this work. The singular value decomposition method is applied to evaluate the uniformly distributed samples, whose positions are fixed by a nonredundant sampling representation of the field. Then the plane-rectangular near-field data needed to perform the classical probe-compensated near-field-far-field transformation are efficiently evaluated via the optimal sampling interpolation algorithm. As demonstrated by numerical tests, the far-field reconstruction process is accurate and stable. | |
| Handle: | http://hdl.handle.net/11386/1002439 | |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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