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Sensors 2018, 18(1), 24; https://doi.org/10.3390/s18010024

Accurate Analysis of Target Characteristic in Bistatic SAR Images: A Dihedral Corner Reflectors Case

1,2
,
1,2,* , 1,2
and
1,2
1
Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2
Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Received: 10 October 2017 / Revised: 5 December 2017 / Accepted: 11 December 2017 / Published: 22 December 2017

Abstract

The dihedral corner reflectors are the basic geometric structure of many targets and are the main contributions of radar cross section (RCS) in the synthetic aperture radar (SAR) images. In stealth technologies, the elaborate design of the dihedral corners with different opening angles is a useful approach to reduce the high RCS generated by multiple reflections. As bistatic synthetic aperture sensors have flexible geometric configurations and are sensitive to the dihedral corners with different opening angles, they specially fit for the stealth target detections. In this paper, the scattering characteristic of dihedral corner reflectors is accurately analyzed in bistatic synthetic aperture images. The variation of RCS with the changing opening angle is formulated and the method to design a proper bistatic radar for maximizing the detection capability is provided. Both the results of the theoretical analysis and the experiments show the bistatic SAR could detect the dihedral corners, under a certain bistatic angle which is related to the geometry of target structures. View Full-Text
Keywords: dihedral corner reflector; bistatic radar sensor; scattering characteristic; SAR image dihedral corner reflector; bistatic radar sensor; scattering characteristic; SAR image
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Ao, D.; Li, Y.; Hu, C.; Tian, W. Accurate Analysis of Target Characteristic in Bistatic SAR Images: A Dihedral Corner Reflectors Case. Sensors 2018, 18, 24.

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