An Accelerated Back-Projection Algorithm Based on Large Swath for Geosynchronous-Earch-Orbit SAR Imaging

CHEN Quan; LIU Wenkang; SUN Guangcai; LI Dongxu; XING Mengdao

doi:10.11999/JEIT210560

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3136-3143

CHEN Quan, LIU Wenkang, SUN Guangcai, LI Dongxu, XING Mengdao. An Accelerated Back-Projection Algorithm Based on Large Swath for Geosynchronous-Earch-Orbit SAR Imaging[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3136-3143. doi: 10.11999/JEIT210560

Citation:

CHEN Quan, LIU Wenkang, SUN Guangcai, LI Dongxu, XING Mengdao. An Accelerated Back-Projection Algorithm Based on Large Swath for Geosynchronous-Earch-Orbit SAR Imaging[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3136-3143. doi: 10.11999/JEIT210560

Citation:

CHEN Quan, LIU Wenkang, SUN Guangcai, LI Dongxu, XING Mengdao. An Accelerated Back-Projection Algorithm Based on Large Swath for Geosynchronous-Earch-Orbit SAR Imaging[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3136-3143. doi: 10.11999/JEIT210560

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An Accelerated Back-Projection Algorithm Based on Large Swath for Geosynchronous-Earch-Orbit SAR Imaging

doi: 10.11999/JEIT210560

1.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China

Funds: The State Key Program of National Natural Science China (61931025), The State Key Program of National Natural Science China (2017-JCJQ-ZQ-061), The 111 Project (B18039)

Received Date: 2021-06-10
Rev Recd Date: 2022-07-13

Available Online: 2022-07-21

Publish Date: 2022-09-19

Abstract

Abstract

In the Geosynchronous-Earth-Orbit (GEO) SAR imaging, the extremely large swath width causes the imaging plane to no longer satisfy the flat plane approximation, which makes the accelerated BP algorithms based on the flat plane grid invalid. In this paper, an accelerated BP algorithm based on ground grid is proposed to process accurately and efficiently the GEO SAR signals. The imaging grids are arranged on the ground surface to correct the complex space variance of the signal caused by orbit and ground surface curvature. To solve the spectrum aliasing of sub-aperture images, a two-step spectrum compressing method is proposed to achieve the sub-aperture spectrum de-aliasing before fusion. And a multi-stage sub-aperture image fusion method is adopted to improve the imaging efficiency. Finally, simulation results are shown to verify the accuracy and efficiency of the proposed focusing approaches.
- Geosynchronous-Earch-Orbit (GEO) SAR,
- Accelerated Back Projection (BP) algorithm,
- Ground surface curvature,
- Spectrum compression,
- Multi-stage image fusion

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References(18)

References

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