Fast and Accurate Near-Field to Far-Field Transformation Using an Adaptive Sampling Algorithm and Machine Learning

2019 ◽  
Author(s):  
Rezvan Rafiee Alavi ◽  
Rashid Mirzavand ◽  
Pedram Mousavi
Keyword(s):  
Machine Learning ◽  
Adaptive Sampling ◽  
Near Field ◽  
Far Field ◽  
Sampling Algorithm ◽  
Field Transformation

Phaseless Near-Field Far-Field Transformation Utilizing Combinations of Probe Signals

2017 ◽  
Vol 65 (10) ◽  
pp. 5492-5502 ◽  
Author(s):  
Alexander Paulus ◽  
Josef Knapp ◽  
Thomas F. Eibert
Keyword(s):  
Near Field ◽  
Far Field ◽  
Field Transformation

Plane-polar near-field to far-field transformation with the near-field interpolation method

1990 ◽  
Vol 26 (22) ◽  
pp. 1886 ◽  
Author(s):  
E. van Lil ◽  
C. Cao ◽  
A. van de Capelle ◽  
K. Van't Klooster
Keyword(s):  
Interpolation Method ◽  
Near Field ◽  
Far Field ◽  
Field Transformation

scholarly journals An Alternative Spherical near Field to Far Field Transformation

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

scholarly journals Scattering centers modeling of non-anechoic measurement environments

2012 ◽  
Vol 10 ◽  
pp. 69-73 ◽  
Author(s):  
K. A. Yinusa ◽  
C. H. Schmidt ◽  
T. F. Eibert
Keyword(s):  
Near Field ◽  
Field Measurements ◽  
Field Pattern ◽  
Far Field ◽  
Scattering Centers ◽  
Field Transformation ◽  
Field Radiation ◽  
Echo Suppression ◽  
Multipath Signals ◽  
Far Field Pattern

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.

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