DocumentCode :
3114330
Title :
Fast Fourier Transform preprocessing for accelerated plane wave based spherical near-field far-field transformation
Author :
Schmidt, Carsten H. ; Laitinen, Tommi A. ; Eibert, Thomas F.
Author_Institution :
Lehrstuhl fur Hochfrequenztech., Tech. Univ. Munchen, Munich, Germany
fYear :
2010
fDate :
16-19 Aug. 2010
Firstpage :
784
Lastpage :
787
Abstract :
Near-field measurement and transformation techniques are widely applied to characterize the radiation pattern of antennas. Spherical near-field measurements have been researched widely and various techniques with different probe compensation capabilities and complexities exist. Among those techniques applicable for (almost) arbitrary probes and based on spherical wave translations, the crucial computational relaxations have been gained through the use of a Fourier Transform based preprocessing of the measurement data. It is shown in this paper that the same Fourier Transform based preprocessing step can be applied in conjunction with the plane wave based probe-corrected near-field far-field transformations. The collection of probe signals is split into smaller sub sets by an Inverse Fast Fourier Transform. These sub problems can be solved with a reduced overall complexity and also a full probe correction is achieved.
Keywords :
antenna radiation patterns; fast Fourier transforms; accelerated plane wave; antenna radiation pattern; computational relaxations; fast Fourier transform preprocessing; inverse fast Fourier transform; near-field measurement techniques; probe compensation capabilities; probe correction; probe-corrected near-field far-field transformations; spherical near-field far-field transformation; spherical wave translations; Acceleration; Antenna measurements; Antennas; Complexity theory; Fast Fourier transforms; Probes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Theory (EMTS), 2010 URSI International Symposium on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-5155-5
Electronic_ISBN :
978-1-4244-5154-8
Type :
conf
DOI :
10.1109/URSI-EMTS.2010.5637234
Filename :
5637234
Link To Document :
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