Accurate Phase Calibration of Multistatic Imaging System for Medical and Industrial Applications
Source abstract
Abstract
Multistatic imaging systems are commonly used in radar systems and microwave imaging. In these systems, many antennas are arranged three-dimensionally and connected to RF switches. The length of each transmitter (Tx) and receiver (Rx) channel differs slightly, causing artifacts in high-resolution image reconstruction. This study presents a novel method for the phase calibration of multistatic systems. This method does not require system reconstruction and can automatically perform phase calibration in a short time. This method is expected to facilitate an accurate phase measurement in multistatic systems. The approach involves phase calibration by analyzing the reflection coefficients of antenna elements in the time domain. Imaging experiments were performed on a multistatic imaging system using this calibration method, and the position and shape of a metal rod with a diameter one-fourth of a wavelength were reconstructed by simple back-projection with an accuracy beyond the diffraction limit.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microwave Imaging and Scattering Analysis · Electrical and Bioimpedance Tomography · Ultrasonics and Acoustic Wave Propagation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate School of Science and Engineering, Kansai University, Suita 564-8680, Japan
Department of Pure and Applied Physics, Kansai University, Suita 564-8680, Japan
References (34)
Show source-provided references
1. Polarimetric Autocorrelation Matrix: A New Tool for Joint Characterizing of Target Polarization and Doppler Scattering Mechanism
2. Meaney, P.M., Fanning, M.W., Li, D., Poplack, S.P., and Paulsen, K.D. (2000). A Clinical Prototype for Active Microwave Imaging of the Breast, IEEE.
3. Alsawaftah, N., El-Abed, S., Dhou, S., and Zakaria, A. (2022). Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions. J. Imaging, 8.10.3390/jimaging8050123 ↗
4. Microwave System for Head Imaging10.1109/TIM.2013.2277562 ↗
5. Mobashsher, A.T., and Abbosh, A.M. (2016). On-Site Rapid Diagnosis of Intracranial Hematoma Using Portable Multi-Slice Microwave Imaging System. Sci. Rep., 6.10.1038/srep37620 ↗
6. Microwave Tomography for Industrial Process Imaging: Example Applications and Experimental Results10.1109/MAP.2017.2731201 ↗
7. Wideband Microwave Camera for Real-Time 3-D Imaging10.1109/TAP.2016.2630598 ↗
8. Demonstration of 3-D Security Imaging at 24 GHz with a 1-D Sparse MIMO Array10.1109/LGRS.2019.2962618 ↗
9. Microwave Imaging in Security—Two Decades of Innovation10.1109/JMW.2020.3035790 ↗
10. Meaney, P., Hartov, A., Raynolds, T., Davis, C., Richter, S., Schoenberger, F., Geimer, S., and Paulsen, K. (2020). Low Cost, High Performance, 16-Channel Microwave Measurement System for Tomographic Applications. Sensors, 20.10.3390/s20185436 ↗
11. Advances in Microwave Near-Field Imaging: Prototypes, Systems, and Applications10.1109/MMM.2020.2971375 ↗
12. In Situ Monitoring of Channel Imbalances of Air/Space-Borne Antenna Arrays Through Multistatic Radar Imaging10.1109/TGRS.2024.3379088 ↗
13. Analysis of Incident Field Modeling and Incident/Scattered Field Calibration Techniques in Microwave Tomography10.1109/LAWP.2011.2166849 ↗
14. Software Calibration of a Frequency-Diverse, Multistatic, Computational Imaging System10.1109/ACCESS.2016.2570678 ↗
15. Rodriguez-Duarte, D.O., Vasquez, J.A.T., and Vipiana, F. (2021, January 15–17). Multi-Shot Calibration Technique for Microwave Imaging Systems. Proceedings of the 2021 IEEE Conference on Antenna Measurements and Applications (CAMA 2021), Antibes Juan-les-Pins, France.10.1109/CAMA49227.2021.9703495 ↗
16. Kasper, M., Ragulskis, M., Gramse, G., and Kienberger, F. (2019). S-Parameter Calibration Procedure for Multiport Microwave Imaging Systems. arXiv.
17. Multistatic Ground-Penetrating Radar Experiments10.1109/TGRS.2007.900677 ↗
18. Terashima, K., Yamaguchi, S., Nagayama, Y., Hanashima, T., Moriyama, T., Tanaka, T., and Tsuchiya, H. (2018, January 1–4). Development of UWB Microwave Mammography with Multi-Polarization. Proceedings of the 2018 Progress in Electromagnetics Research Symposium, Toyama, Japan.10.23919/PIERS.2018.8597749 ↗
19. Kwon, S., Yu, H., and Lee, S. (2015, January 13–17). Calibration with Single Measurement in Microwave Imaging System for Breast Cancer Detection. Proceedings of the 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal.
20. (2024, October 29). Keysight Technologies Electronic Calibration Feature Allows Users to Customize to Speciic Needs. Available online: https://www.keysight.com/us/en/assets/7018-01159/white-papers/5988-9478.pdf.
21. (2024, June 01). Keysight Technologies Time Domain Analysis Using a Network Analyzer. Available online: https://www.keysight.com/jp/ja/assets/7018-01451/application-notes/5989-5723.pdf.
22. Cui, J., Zhang, Y., and Wu, J. (2011, January 16–19). The Research of Port Extension and De-Embedding Based on Vector Network Analyzer. Proceedings of the Tenth International Conference on Electronic Measurement & Instruments, Chengdu, China.
23. (2024, February 16). Keysight Technologies De-Embedding and Embedding S-Parameter Networks Using a Vector Network Analyzer. Available online: https://www.keysight.com/jp/ja/assets/7018-06806/application-notes/5980-2784.pdf.
24. Vivaldi Antenna Impedance Bandwidth Dependence on Stripline to Bilateral Slotline Transition10.1002/mop.27413 ↗
25. A 0.7-20-GHz Strip-Fed Bilateral Tapered Slot Antenna with Low Cross Polarization10.1109/LAWP.2013.2270934 ↗
26. Even-Mode Characteristics of the Bilateral Slotline10.1109/22.130971 ↗
27. Natalia, K. (2017). Nikolova Introduction to Microwave Imaging, Cambridge University Press.
28. Time Reversal of Electromagnetic Waves10.1103/PhysRevLett.92.193904 ↗
29. Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments10.1109/TCI.2021.3104750 ↗
30. Time Reversal with the FDTD Method for Microwave Breast Cancer Detection10.1109/TMTT.2005.850444 ↗
31. Meaney, P.M., and Paulsen, K.D. (2005, January 3–8). Data Collection Strategies and Their Impact on 3D Microwave Imaging of the Breast. Proceedings of the 2005 IEEE Antennas and Propagation Society International Symposium, Washington, DC, USA.10.1109/APS.2005.1551516 ↗
32. Advances in the 3-D Forward-Backward Time-Stepping (FBTS) Inverse Scattering Technique for Breast Cancer Detection10.1109/TBME.2009.2022635 ↗
33. Johnson, J.E., Zhou, H., and Takenaka, T. (2006, January 19–21). Experimental Three-Dimensional Time-Domain Reconstruction of Dielectric Objects for Breast Cancer Detection. Proceedings of the Mediterranean Microwave Symposium in 2006, Genova, Italy.
34. A breast imaging model using microwaves and a time domain three dimensional recon-struction method10.2528/PIER09033001 ↗