DocumentCode :
2189861
Title :
An investigation of antenna characterization techniques in microwave remote sensing calibration
Author :
Houtz, Derek A. ; Gu, Dazhen ; Walker, David K. ; Randa, James
Author_Institution :
Nat. Inst. of Stand. & Technol., Boulder, CO, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
4660
Lastpage :
4663
Abstract :
We compare three methods of quantifying illumination efficiency (IE). The ratio IE describes the contribution of energy emitted from a blackbody target to the total energy measured at an antenna aperture in a free-space microwave calibration target radiometric measurement. Measurements are compared at three frequencies: 18 GHz, 22.5 GHz, and 26 GHz. An antenna pattern integration method is compared with a recently developed target-temperature fitting method. These two experimental approaches are also compared to a computational antenna pattern simulation. Results show that the simulation agrees with the experimental fitting method more closely at far-field distances, whereas the antenna pattern integration and experimental fitting method agree at closer distances.
Keywords :
antenna radiation patterns; calibration; integration; microwave antennas; microwave measurement; radiometers; radiometry; remote sensing; IE; antenna aperture; antenna characterization technique; antenna pattern integration method; blackbody target; computational antenna pattern simulation; energy emission contribution; energy measurement; experimental fitting method; free-space microwave calibration; frequency 18 GHz; frequency 22.5 GHz; frequency 26 GHz; illumination efficiency; microwave remote sensing calibration; radiometric measurement; target-temperature fitting method; Antenna measurements; Antenna radiation patterns; Microwave antennas; Microwave measurements; Microwave radiometry; Microwave theory and techniques; Temperature measurement; Antenna pattern simulation; Blackbody target; Illumination efficiency; Microwave radiometer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350426
Filename :
6350426
Link To Document :
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