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Volume 44 Issue 4
Apr.  2022
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LANG Shinan, XU Ben, CUI Xiangbin. Processing Algorithm Based on Fast Back-projection for Imaging of Ultra-WideBand Ice-sounding Data[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1249-1256. doi: 10.11999/JEIT211217
Citation: LANG Shinan, XU Ben, CUI Xiangbin. Processing Algorithm Based on Fast Back-projection for Imaging of Ultra-WideBand Ice-sounding Data[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1249-1256. doi: 10.11999/JEIT211217

Processing Algorithm Based on Fast Back-projection for Imaging of Ultra-WideBand Ice-sounding Data

doi: 10.11999/JEIT211217
Funds:  The National Natural Science Foundation of China (41941006, 41606219, 41776186), The National Key R&D Program of China (2019YFC1509102), The Scientific Research Project of Beijing Educational Committee (KM201910005027), Shanghai Science and Technology Development Funds (21ZR1469700)
  • Received Date: 2021-11-03
  • Accepted Date: 2022-02-21
  • Rev Recd Date: 2022-02-19
  • Available Online: 2022-03-02
  • Publish Date: 2022-04-18
  • A new algorithm for imaging of ice-sounding radar is proposed, which can obtain high-resolution subglacial profiles with high processing efficiency. This algorithm, which is a processing algorithm based on fast back-projection for imaging of Ultra-WideBand(UWB) ice-sounding radar, can correct the distance between radar and targets in multilayer media and the geometric variation of range migration caused by multilayer media. The theory of the algorithm is analyzed and the implementation steps of the algorithm are given in this paper, and the algorithm is applied to point targets simulation and ice-sounding data experiment, which verifies the effectiveness of the algorithm in imaging of ice-sounding data. Furthermore, the results of the proposed algorithm with those of the existing ice-sounding radar processing algorithms are compared in three aspect of azimuth clutter suppression ability, computing time and azimuth resolution ability, which verifies this algorithm can effectively improve the computational efficiency without reducing the azimuth clutter suppression ability and azimuth resolution.
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