DocumentCode :
1269757
Title :
Novel Method to Improve the Signal-To-Noise Ratio in Far-Field Results Obtained from Planar Near-Field Measurements
Author :
Cano-Fácila, Francisco J. ; Burgos, Sara ; Sierra-Castañer, Manuel
Author_Institution :
ETSI de Telecomun., Univ. Politec. de Madrid (UPM), Madrid, Spain
Volume :
53
Issue :
2
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
215
Lastpage :
220
Abstract :
A method to reduce the noise power in a far-field pattern without modifying the desired signal is proposed. An important signal-to-noise-ratio improvement may thereby be achieved. The method is used when the antenna measurement is performed in the planar near-field, where the recorded data are assumed to be corrupted with white Gaussian and space-stationary noise, because of the receiver´s additive noise. Back-propagating the measured field from the scan plane to the plane of the antenna under test (AUT), the noise remains white Gaussian and space-stationary, whereas the desired field is theoretically concentrated in the aperture antenna. Thanks to this fact, a spatial filtering may be applied, canceling the field that is located out of the AUT´s dimensions and that is only composed of noise. Next, a planar-field-to-far-field transformation is carried out, achieving a great improvement compared to the pattern obtained directly from the measurement. To verify the effectiveness of the method, two examples are presented using both simulated and measured near-field data.
Keywords :
antenna radiation patterns; antenna testing; aperture antennas; AUT dimension; antenna measurement; antenna under test; aperture antenna; far-field pattern; measured field back propagation; noise power reduction; planar near-field measurements; planar-field-to-far-field transformation; receiver additive noise; signal-to-noise ratio; space-stationary noise; white Gaussian noise; Additive white noise; Antenna measurements; Backpropagation; Gaussian processes; Noise reduction; Signal to noise ratio; Antenna measurements; Gaussian noise; anechoic chambers; filtering; random variables; reconstruction algorithms; signal to noise ratio;
fLanguage :
English
Journal_Title :
Antennas and Propagation Magazine, IEEE
Publisher :
ieee
ISSN :
1045-9243
Type :
jour
DOI :
10.1109/MAP.2011.5949371
Filename :
5949371
Link To Document :
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