A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization

Shuai SHAO; Lei ZHANG; Hongwei LIU

doi:10.11999/JEIT180521

Volume 41 Issue 4

Mar. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(4): 779-786

Shuai SHAO, Lei ZHANG, Hongwei LIU. A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization[J]. Journal of Electronics & Information Technology, 2019, 41(4): 779-786. doi: 10.11999/JEIT180521

Citation:

Shuai SHAO, Lei ZHANG, Hongwei LIU. A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization[J]. Journal of Electronics & Information Technology, 2019, 41(4): 779-786. doi: 10.11999/JEIT180521

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A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization

doi: 10.11999/JEIT180521

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

Funds: The National Natural Science Foundation of China (61771372, 61771367), The National Science Fund for Distinguished Young Scholars (61525105), The 111 Project (B18039)

Received Date: 2018-05-28
Rev Recd Date: 2018-12-06

Available Online: 2018-12-24

Publish Date: 2019-04-01

Abstract

Abstract

Due to the selection of dominant scatterers is easy to be affected by noise, a novel Inverse Synthetic Aperture Radar (ISAR) cross-range scaling algorithm based on image contrast maximization is proposed, which can realize the cross-range scaling while achieving the range spatial-variant phase autofocus. With the image contrast as cost function, the cross-range chirp rate of received signal can be estimated accurately using Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Based on the estimated results, the cross-range scaling of ISAR image and precise phase autofocus can be implemented. Both simulated and real data experiments confirm the effectiveness and robustness of the proposed algorithm.
- Inverse Synthetic Aperture Radar (ISAR),
- Cross-range scaling,
- Maximum contrast,
- Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm

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References(15)

References

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