DocumentCode
3349812
Title
Optimum corner reflectors for calibration of imaging radars
Author
Sarabandi, Kamal ; Chiu, Tsen-Chieh
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume
3
fYear
34881
fDate
10-14 Jul1995
Firstpage
2241
Abstract
Trihedral corner reflectors are widely used as calibration targets for imaging radars because of their large RCS and extremely wide RCS pattern. The maximum RCS of a trihedral is proportional to the physical size of its panels, thus trihedrals with large RCS are heavy and difficult for field deployment. In addition, the large physical dimensions usually cause uncertainty in the expected RCS of the trihedral. Another source of uncertainty in the RCS of a trihedral sitting on a ground plane is the coherent interaction of the ground plane with the trihedral. In the analysis of the trihedral, it is found that only a portion of panels contribute to the backscatter and therefore the size of the trihedral can be reduced without reducing RCS value significantly. A class of corner reflectors which will be referred to as self-illuminating corner reflectors is introduced and proposed as calibration targets. The panel area of those reflectors is 2/3 of that of the trihedral with the same RCS. It is shown that the reduction in panel size also reduces the uncertainty in the RCS value
Keywords
calibration; geophysical equipment; geophysical techniques; radar equipment; radar imaging; remote sensing by radar; geophysical measurement technique; imaging radar; land surface; optimum corner reflector; radar accessory; radar calibration target; radar imaging; radar remote sensing; self-illuminating corner reflector; selfilluminating corner reflector; terrain mapping; trihedral corner reflector size; wide RCS pattern; Backscatter; Calibration; Frequency; Geometry; Optical reflection; Optical scattering; Radar cross section; Radar imaging; Radar scattering; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.524159
Filename
524159
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