Issue |
Natl Sci Open
Volume 3, Number 5, 2024
Special Topic: Microwave Vision and SAR 3D Imaging
|
|
---|---|---|
Article Number | 20230085 | |
Number of page(s) | 17 | |
Section | Information Sciences | |
DOI | https://doi.org/10.1360/nso/20230085 | |
Published online | 20 August 2024 |
RESEARCH ARTICLE
RM-CSTV: An effective high-resolution method of non-line-of-sight millimeter-wave radar 3-D imaging
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
* Corresponding author (email: weishunjun@uestc.edu.cn)
Received:
15
December
2023
Revised:
26
January
2024
Accepted:
28
May
2024
Non-line-of-sight (NLOS) imaging is a novel radar sensing technology that enables the reconstruction of hidden targets. However, it may suffer from synthetic aperture length reduction caused by ambient occlusion. In this study, a complex total variation (CTV) regularization-based sparse reconstruction method for NLOS three-dimensional (3-D) imaging by millimeter-wave (mmW) radar, named RM-CSTV method, is proposed to improve imaging quality and speed. In this scheme, the NLOS imaging model is first introduced, and associated geometric constraints for NLOS objects are established. Second, an effective high-resolution NLOS imaging method based on the range migration (RM) kernel and complex sparse joint total variation constraint, dubbed as modified RM-CSTV, is proposed for 3-D high-resolution imaging with edge information. The experiments with multi-type NLOS targets show that the proposed RM-CSTV method can provide effective and high-resolution NLOS targets 3-D imaging.
Key words: NLOS imaging / 3-D-SAR / 3-D imaging / sparse reconstruction
© The Author(s) 2024. Published by Science Press and EDP Sciences.
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