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| Citation: | LIU Xin, ZHU Haibin, LIU Zongqiang, et al. Research on the design and joint positioning method of an ultra-wideband through-wall radar system for distributed wireless networking[J]. Journal of Radars, in press. doi: 10.12000/JR23239
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Research on the Design and Joint Positioning Method of an ultra-wideband Through-wall Radar System for Distributed Wireless Networking
doi: 10.12000/JR23239
More Information-
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. -
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References
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- Figure 1. Distributed network through-wall radar diagram
- Figure 2. Block diagram of pseudo random coded radar system
- Figure 3. Gray complementary code generation process
- Figure 4. The autocorrelation results of the selected three sets of Gray codes
- Figure 5. The cross-correlation results of the selected three sets of Gray codes
- Figure 6. The logic diagram of clock synchronization module
- Figure 7. The logic diagram of transmitter signal generation
- Figure 8. A pseudo-random coded signal produced by the transmitter
- Figure 9. The sum of autocorrelation functions for A code/B code
- Figure 10. Receiver logic diagram
- Figure 11. Mixed sampling sequence diagram
- Figure 12. Flowchart of distributed network radar target joint localization algorithm
- Figure 13. Fast time calibration method based on direct wave
- Figure 14. Motion target simulation scene
- Figure 15. The variation of radar position estimation error with SNR
- Figure 16. The variation of target position estimation error with SNR
- Figure 17. Distributed wireless networked radar system
- Figure 18. Human motion trajectory
- Figure 19. The B-Scan images from three radar echoes
- Figure 20. The matching template B-Scan map selected from the middle radar
- Figure 21. The results of cross-correlation between template and radar#1
- Figure 22. The results of cross-correlation between template and radar #3
- Figure 23. The estimation results of radar position by data segment 1
- Figure 24. The estimation results of radar position by data segment 2
- Figure 25. Distributed radar joint location results
- Figure 26. Box plot of positioning error statistics results