The Design and Joint Positioning Method of an ultra-wideband Through-wall Radar System for Distributed Wireless Networking

LIU Xin; ZHU Haibin; LIU Zongqiang; XUE Changhu; MU Yaxin; QU Xiaodong; YE Shengbo; XIA Zhenghuan; FANG Guangyou

doi:10.12000/JR23239

Volume 13 Issue 4

Aug. 2024

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Article Navigation > Journal of Radars > 2024 > 13(4): 747-760

DING Zihang, XIE Junwei, and WANG Bo. Missing covariance matrix recovery with the FDA-MIMO radar using deep learning method[J]. Journal of Radars, 2023, 12(5): 1112–1124. doi: 10.12000/JR23002

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LIU Xin, ZHU Haibin, LIU Zongqiang, et al. The design and joint positioning method of an ultra-wideband through-wall radar system for distributed wireless networking[J]. Journal of Radars, 2024, 13(4): 747–760. doi: 10.12000/JR23239

DING Zihang, XIE Junwei, and WANG Bo. Missing covariance matrix recovery with the FDA-MIMO radar using deep learning method[J]. Journal of Radars, 2023, 12(5): 1112–1124. doi: 10.12000/JR23002

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The Design and Joint Positioning Method of an ultra-wideband Through-wall Radar System for Distributed Wireless Networking

DOI: 10.12000/JR23239

1.
Beijing Institute of Satellite Information Engineering, Beijing 100095, China
2.
Beijing Information Science and Technology University, Beijing 100101, China
3.
Beijing Institute of Technology, Beijing 100081, China
4.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

Funds: The National Key R&D Program of China (2021YFC3002100, 2023YFB3905505), The National Natural Science Foundation of China (61601438, 62201573), Beijing Information Science and Technology University Foundation (2021XJJ22)

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Corresponding author: LIU Zongqiang, bestlzq@126.com; YE Shengbo, sbye@mail.ie.ac.cn
Received Date: 2023-12-11
Rev Recd Date: 2024-02-03

Available Online: 2024-02-06

Publish Date: 2024-03-19

Abstract

Abstract

Through-wall radar systems with single transmitter and receiver have the advantages of portability, simplicity, and independent operation; however, they cannot accomplish two-dimensional (2D) localization and tracking of targets. This paper proposes distributed wireless networking for through-wall radar systems based on a portable single transmitter and single receiver radar. Moreover, a target joint positioning method is proposed in this study, which can balance system portability, low cost, and target 2D information estimation. First, a complementary Gray code transmission waveform is utilized to overcome the issue of mutual interference when multiple radars operate simultaneously in the same frequency band, and each radar node communicates with the processing center via wireless modules, forming a distributed wireless networking radar system. In addition, a data synchronization method combines the behavioral cognition theory and template matching, which identifies identical motion states in data obtained from different radars, realizing slow-time synchronization among distributed radars and thereby eliminating the strict hardware requirements of conventional synchronization methods. Finally, a joint localization method based on Levenberg-Marquardt is proposed, which can simultaneously estimate the positions of radar nodes and targets without requiring prior radar position information. Simulation and field experiments are performed, and the results reveal that the distributed wireless networking radar system developed in this study can obtain 2D target positions and track moving targets in real time. The estimation accuracy of the radar’s own position is less than 0.06 m, and the positioning accuracy of moving human targets is less than 0.62 m.
- Ultra-wideband through-wall radar,
- Distributed networking,
- Wireless networking,
- Data synchronization,
- Federated targeting

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References

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The Design and Joint Positioning Method of an ultra-wideband Through-wall Radar System for Distributed Wireless Networking

DOI: 10.12000/JR23239

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The Design and Joint Positioning Method of an ultra-wideband Through-wall Radar System for Distributed Wireless Networking

DOI: 10.12000/JR23239

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