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Volume 45 Issue 6
Jun.  2023
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CUI Xingchao, LI Haoliang, FU Yaowen, CHEN Siwei, SU Yi. Scattering Structure Recognition of Space Target in Polarimetric Rotation Domain[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2105-2114. doi: 10.11999/JEIT220493
Citation: CUI Xingchao, LI Haoliang, FU Yaowen, CHEN Siwei, SU Yi. Scattering Structure Recognition of Space Target in Polarimetric Rotation Domain[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2105-2114. doi: 10.11999/JEIT220493

Scattering Structure Recognition of Space Target in Polarimetric Rotation Domain

doi: 10.11999/JEIT220493
Funds:  The National Natural Science Foundation of China (62122091), The Natural Science Foundation of Hunan Province (2020JJ2034)
  • Received Date: 2022-04-21
  • Accepted Date: 2022-08-25
  • Rev Recd Date: 2022-08-23
  • Available Online: 2022-08-29
  • Publish Date: 2023-06-10
  • Polarimetric Inverse Synthetic Aperture Radar (ISAR), which has the ability of full polarization measurement and high-resolution imaging, has become an important sensor for space awareness. As a typical man-made target, space target has various scattering characteristic, which is sensitive to the relative angle between the target orientation and the radar’s line of sight. This scattering diversity makes it difficult for polarimetric ISAR data interpretation. Besides, enrich polarimetric scattering information is hidden within it. In order to promote the interpretation performance of space target, a scattering structure recognition method in polarimetric rotation domain is proposed by mining the polarimetric rotation domain information along the radar’s line of sight, which mainly contains three steps. Firstly, polarimetric rotation domain analysis along the radar’s line of sight is conducted on the polarimetric ISAR data and a set of polarimetric correlation pattern features are derived. Secondly, the polarimetric correlation pattern characteristics of canonical structures are analyzed and the polarimetric feature coding vectors are given. Finally, the target scattering structure can be recognized by the distance of polarimetric feature coding vectors. Simulation experimental studies are carried out with the typical space target components of solar panel and reflector antenna. Compared with the traditional Cameron decomposition, the proposed method has superior and robust performance.
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