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Proceedings Paper

A fast RCS accuracy assessment method for passive radar calibrators
Author(s): Yongsheng Zhou; Chuanrong Li; Lingli Tang; Lingling Ma; QI Liu
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Paper Abstract

In microwave radar radiometric calibration, the corner reflector acts as the standard reference target but its structure is usually deformed during the transportation and installation, or deformed by wind and gravity while permanently installed outdoor, which will decrease the RCS accuracy and therefore the radiometric calibration accuracy. A fast RCS accuracy measurement method based on 3-D measuring instrument and RCS simulation was proposed in this paper for tracking the characteristic variation of the corner reflector. In the first step, RCS simulation algorithm was selected and its simulation accuracy was assessed. In the second step, the 3-D measuring instrument was selected and its measuring accuracy was evaluated. Once the accuracy of the selected RCS simulation algorithm and 3-D measuring instrument was satisfied for the RCS accuracy assessment, the 3-D structure of the corner reflector would be obtained by the 3-D measuring instrument, and then the RCSs of the obtained 3-D structure and corresponding ideal structure would be calculated respectively based on the selected RCS simulation algorithm. The final RCS accuracy was the absolute difference of the two RCS calculation results. The advantage of the proposed method was that it could be applied outdoor easily, avoiding the correlation among the plate edge length error, plate orthogonality error, plate curvature error. The accuracy of this method is higher than the method using distortion equation. In the end of the paper, a measurement example was presented in order to show the performance of the proposed method.

Paper Details

Date Published: 19 October 2016
PDF: 8 pages
Proc. SPIE 10000, Sensors, Systems, and Next-Generation Satellites XX, 100001I (19 October 2016); doi: 10.1117/12.2240910
Show Author Affiliations
Yongsheng Zhou, Academy of Opto-Electronics (China)
Chuanrong Li, Academy of Opto-Electronics (China)
Lingli Tang, Academy of Opto-Electronics (China)
Lingling Ma, Academy of Opto-Electronics (China)
QI Liu, China Institute of Water Resources and Hydropower Research (China)


Published in SPIE Proceedings Vol. 10000:
Sensors, Systems, and Next-Generation Satellites XX
Roland Meynart; Steven P. Neeck; Toshiyoshi Kimura, Editor(s)

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