3D Radar Imaging Based on Target Scenario Structer Sparse Reconstruction

Yan ZHANG; Baoping WANG; Yang FANG; Jiahui WANG; Zuxun SONG

doi:10.11999/JEIT200071

Volume 43 Issue 4

Apr. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(4): 1185-1191

Yan ZHANG, Baoping WANG, Yang FANG, Jiahui WANG, Zuxun SONG. 3D Radar Imaging Based on Target Scenario Structer Sparse Reconstruction[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1185-1191. doi: 10.11999/JEIT200071

Citation:

Yan ZHANG, Baoping WANG, Yang FANG, Jiahui WANG, Zuxun SONG. 3D Radar Imaging Based on Target Scenario Structer Sparse Reconstruction[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1185-1191. doi: 10.11999/JEIT200071

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3D Radar Imaging Based on Target Scenario Structer Sparse Reconstruction

doi: 10.11999/JEIT200071

1.
School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China
2.
Science and Technology on UAV Laboratory, Northwestern Polytechnical University, Xi’an 710065, China
3.
State Grid Shaanxi Electric Power Economic Technology Research Institute, Xi’an 710065, China

Funds: The National Natural Science Foundation of China (61472324)

Received Date: 2020-01-17
Rev Recd Date: 2020-11-05

Available Online: 2020-11-11

Publish Date: 2021-04-20

Abstract

Abstract

The three-Dimensional (3D) radar imaging mathods based on sparse representation by the scattering intensity of imaging sceen has a poor representation of geometric details on the shape of the target, which isn’t conducive to target recognition. Firstly, the structural characteristics of scattering intensity in the imaging scenario are analyzed in this paper. Then, by the structured sparse representation with the gradient information of scattering points, a structured sparse reconstruction model is constructed. Finally, the 3D imaging result is reconstructed by a improved joint Orthogonal Matching Pursuit (OMP) algorithm. The experimental results show that the proposed method has good anti-noise and imaging quality, and can reflect the geometric details of the target.
- Radar imaging,
- 3D imaging,
- Target scattering intensity,
- Structured sparse representation,
- Orthogonal Matching Pursuit (OMP)

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References(16)

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