Near-Field to Far-Field Transformation for Fast Linear Slide Measurements

Author(s):  
Fernando Rodriguez Varela ◽  
Ruben Tena Sanchez ◽  
Manuel Jose Lopez Morales ◽  
Manuel Sierra-Castaner
2017 ◽  
Vol 65 (10) ◽  
pp. 5492-5502 ◽  
Author(s):  
Alexander Paulus ◽  
Josef Knapp ◽  
Thomas F. Eibert

1990 ◽  
Vol 26 (22) ◽  
pp. 1886 ◽  
Author(s):  
E. van Lil ◽  
C. Cao ◽  
A. van de Capelle ◽  
K. Van't Klooster

1997 ◽  
Vol 16 ◽  
pp. 269-284 ◽  
Author(s):  
T. K. Sarkar ◽  
P. Petre ◽  
A. Taaghol ◽  
R. F. Harrington

2012 ◽  
Vol 10 ◽  
pp. 69-73 ◽  
Author(s):  
K. A. Yinusa ◽  
C. H. Schmidt ◽  
T. F. Eibert

Abstract. Near-field measurements are established techniques to obtain the far-field radiation pattern of an Antenna Under Test via near-field measurements and subsequent near-field far-field transformation. For measurements acquired in echoic environments, additional post-processing is required to eliminate the effects of multipath signals in the resulting far-field pattern. One of such methods models the measurement environment as a multiple source scenario whereby the collected near-field data is attributed to the AUT and some scattering centers in the vicinity of the AUT. In this way, the contributions of the AUT at the probe can be separated from those of the disturbers during the near-field far-field transformation if the disturber locations are known. In this paper, we present ways of modeling the scattering centers on equivalent surfaces such that echo suppression is possible with only partial or no information about the geometry of the scatterers.


2009 ◽  
Vol 7 ◽  
pp. 17-22 ◽  
Author(s):  
C. H. Schmidt ◽  
T. F. Eibert

Abstract. The radiation of large antennas and those operating at low frequencies can be determined efficiently by near-field measurement techniques and a subsequent near-field far-field transformation. Various approaches and algorithms have been researched but for electrically large antennas and irregular measurement contours advanced algorithms with low computation complexity are required. In this paper an algorithm employing plane waves as equivalent sources and utilising efficient diagonal translation operators is presented. The efficiency is further enhanced using simple far-field translations in combination with the expensive near-field translations. In this way a low complexity near-field transformation is achieved, which works for arbitrary sample point distributions and incorporates a full probe correction without increasing the complexity.


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