Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling

Gen LI; Yanheng MA; Jianqiang HOU; Gongguo XU

doi:10.11999/JEIT190831

Volume 42 Issue 10

Oct. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(10): 2485-2492

Gen LI, Yanheng MA, Jianqiang HOU, Gongguo XU. Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831

Citation:

Gen LI, Yanheng MA, Jianqiang HOU, Gongguo XU. Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831

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Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling

doi: 10.11999/JEIT190831

1.
Department of UAV Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China
2.
Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China

Received Date: 2019-10-28
Rev Recd Date: 2020-05-29

Available Online: 2020-06-04

Publish Date: 2020-10-13

Abstract

Abstract

The existence of acceleration and descent velocity makes the imaging parameters of high-squint SAR mounted on maneuvering platform have obvious two-dimensional spatial variability, which affects seriously the focus depth of the scene. To solve this problem, a maneuvering SAR imaging method based on Keystone transform and azimuth perturbation resampling is proposed. First of all, the range azimuth decoupling and the azimuth spectrum de Aliasing are realized by the range walk correction and de-acceleration processing. Then the spatial-variant range cell migration is corrected by the Keystone transform in the azimuth time domain; In the process of azimuth compression, the second- and third-order spatial variabilities of Doppler parameters are removed by introducing the high-order perturbation factor in the time domain, and then the first-order spatial variability of the Doppler parameters is removed by the azimuth resampling processing in the azimuth frequency domain. The proposed method can effectively correct the two-dimensional spatial variability of range cell migration trajectory and azimuth focus parameters, and realize the large scene imaging of high-squint maneuvering SAR. Simulation analysis verifies the effectiveness of the proposed method.
- SAR imaging,
- High-squint,
- Maneuvering platforms,
- Keystone transform,
- Perturbation resampling

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References(16)

References

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