Fast High-resolution Imaging Method for Wideband Spinning Targets under Sub-Nyquist Sampling

Hu XIANG; Shaodong LI; Long XIANG; Wenfeng CHEN; Jun YANG

doi:10.11999/JEIT180099

Volume 40 Issue 11

Oct. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(11): 2630-2637

Hu XIANG, Shaodong LI, Long XIANG, Wenfeng CHEN, Jun YANG. Fast High-resolution Imaging Method for Wideband Spinning Targets under Sub-Nyquist Sampling[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2630-2637. doi: 10.11999/JEIT180099

Citation:

Hu XIANG, Shaodong LI, Long XIANG, Wenfeng CHEN, Jun YANG. Fast High-resolution Imaging Method for Wideband Spinning Targets under Sub-Nyquist Sampling[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2630-2637. doi: 10.11999/JEIT180099

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Fast High-resolution Imaging Method for Wideband Spinning Targets under Sub-Nyquist Sampling

doi: 10.11999/JEIT180099

Hu XIANG^{1
,
,},
Shaodong LI^{1, 2},
Long XIANG¹,
Wenfeng CHEN¹,
Jun YANG¹

1.
Air Force Early Warning Academy, Wuhan 430019, China
2.
Unit 93253, PLA, Dalian 116000, China

Funds: The National Natural Science Foundation of China (61671469)

Received Date: 2018-01-24
Rev Recd Date: 2018-06-21

Available Online: 2018-07-16

Publish Date: 2018-11-01

Abstract

Abstract

When using Inverse Synthetic Aperture Radar (ISAR) to observe the spinning targets, the range-Doppler time-varying characteristics of spinning target echo would lead to the inefficiency of traditional imaging methods. To solve this problem, a fast high-resolution imaging method based on distributed matching sparse representation model is proposed for wideband spinning targets imaging. Firstly, a distributed matching sparse representation model is constructed based on the sparsity of spinning target echo. Secondly, a Fast Distributed Simultaneous Multiple Orthogonal Matching Pursuit (FDSMOMP) algorithm is proposed for achieving the fast robust imaging of the spinning parts. The proposed algorithm can significantly improve the reconstruction efficiency by reducing the iteration times and computational complexity of each iteration. Additionally, in order to enhance the robustness of FDSMOMP, a related threshold is designed to suppress the false reconstruction. Finally, the mechanism of the presented method is analyzed theoretically, and it is proved that the high quality imaging result can still be obtained under the conditions of sub-Nyquist sampling and lower (SNR Signal Noise Ratio). Simulation results show the validation of the proposed method.
- High-resolution sparse imaging,
- Sparsity,
- Spinning target,
- Sub-Nyquist sampling,
- Low SNR

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References(18)

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