DOI QR코드

DOI QR Code

APPLICATION OF THE BIFOCUSING METHOD IN MICROWAVE IMAGING BY CONVERTING UNKNOWN MEASUREMENT DATA INTO THE CONSTANT

  • SANGWOO KANG (GRADUATE SCHOOL OF DATA SCIENCE, PUSAN NATIONAL UNIVERSITY) ;
  • MINYEOB LEE (DEPARTMENT OF MATHEMATICS, KOOKMIN UNIVERSITY) ;
  • WON-KWANG PARK (DEPARTMENT OF MATHEMATICS, KOOKMIN UNIVERSITY) ;
  • SEONG-HO SON (DEPARTMENT OF ICT CONVERGENCE, SOONCHUNHYANG UNIVERSITY)
  • 투고 : 2024.07.30
  • 심사 : 2024.09.24
  • 발행 : 2024.09.25

초록

We consider the bifocusing method (BFM) for a fast identification of small objects in microwave imaging. In many researches, it was very hard to measure the scattering parameter data if the location of the transmitter and the receiver is the same. Due to this reason, the imaging function of BFM has mainly been designed by converting unknown measurement data into the zero constant; this approach has yielded reliable imaging results, but the theoretical reason for this conversion has not been investigated yet. In this study, we converted unknown measurement data to a fixed constant and applied the BFM to retrieve small objects. To demonstrate the effect of the converted constant, we show that the imaging function of the BFM can be represented in terms of an infinite series of the Bessel functions of an integer order, antenna setting, material properties, and applied constant. Based on the theoretical result, we concluded that converting unknown measurement data to constant zero guarantees good imaging results, including the unique determination of the objects. Simulation results obtained with synthetic and real data support the theoretical result.

키워드

과제정보

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2020R1A2C1A01005221, RS-2023-00242528), the research program of Kookmin University, and a New Faculty Research Grant of Pusan National University, 2024.

참고문헌

  1. R. Kress, Inverse scattering from an open arc, Mathematical Methods in the Applied Sciences, 18 (1995), 267-293. 
  2. S. Ahmad, T. Strauss, S. Kupis, and T. Khan, Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography, Applied Mathematics and Computation, 358 (2019), 436-448. 
  3. R. Palmeri, M. T. Bevacqua, L. Crocco, T. Isernia, and L. D. Donato, Microwave imaging via distorted iterated virtual experiments, IEEE Transactions on Antennas and Propagation, 65 (2017), 829-838. 
  4. F. Delbary, K. Erhard, R. Kress, R. Potthast, and J. Schulz, Inverse electromagnetic scattering in a two-layered medium with an application to mine detection, Inverse Problems, 24 (2008), Article No. 015002. 
  5. O. Dorn and D. Lesselier, Level set methods for inverse scattering, Inverse Problems, 22 (2006), R67-R131. 
  6. K. Ito, B. Jin, and J. Zou, A direct sampling method to an inverse medium scattering problem, Inverse Problems, 28 (2012), Article No. 025003. 
  7. W.-K. Park, A novel study on the orthogonality sampling method in microwave imaging without background information, Applied Mathematics Letters, 145 (2023), Article No. 108766. 
  8. S. Cos,gun, E. Bilgin, and M. C, ayoren, Microwave imaging of breast cancer with factorization method: SPIONs as contrast agent, Medical Physics, 47 (2020), 3113-3122. 
  9. S.-H. Son, K.-J. Lee, and W.-K. Park, Real-time tracking of moving objects from scattering matrix in real-world microwave imaging, AIMS Mathematics, 9 (2024), 13570-13588. 
  10. W.-K. Park, Real-time detection of small anomaly from limited-aperture measurements in real-world microwave imaging, Mechanical Systems and Signal Processing, 171 (2022), Article No. 108937. 
  11. W.-K. Park, Application of MUSIC algorithm in real-world microwave imaging of unknown anomalies from scattering matrix, Mechanical Systems and Signal Processing, 153 (2021), Article No. 107501. 
  12. P. Monk, M. Pena, and V. Selgas, Multifrequency linear sampling method on experimental datasets, IEEE Transactions on Antennas and Propagation, 71 (2023), 8788-8798. 
  13. W.-K. Park, Investigation of a non-iterative technique based on topological derivatives for fast localization of small conductivity inclusions, Computers & Mathematics with Applications, 120 (2022), 45-59. 
  14. L. Jofre, A. P. Toda, J. M. J. Montana, P. C. Carrascosa, J. Romeu, S. Blanch, and A. Cardama, UWB short-range bifocusing tomographic imaging, IEEE Transactions on Instrumentation and Measurement, 57 (2008), 2414-2420. 
  15. L. Jofre, A. Broquetas, J. Romeu, S. Blanch, A. P. Toda, X. Fabregas, and A. Cardama, UWB tomographic radar imaging of penetrable and impenetrable objects, Proceedings of the IEEE, 97 (2009), 451-464. 
  16. Y. J. Kim, L. Jofre, F. D. Flaviis, and M. Q. Feng, Microwave reflection tomographic array for damage detection of civil structures, IEEE Transactions on Antennas and Propagation, 51 (2003), 3022-3032. 
  17. S. Kang and W.-K. Park, A novel study on the bifocusing method in two-dimensional inverse scattering problem, AIMS Mathematics, 8 (2023), 27080-27112. 
  18. J.-Y. Kim, K.-J. Lee, B.-R. Kim, S.-I. Jeon, and S.-H. Son, Numerical and experimental assessments of focused microwave thermotherapy system at 925 MHz, ETRI Journal, 41 (2019), 850-862. 
  19. C. Y. Ahn, S. Chae, S. Kang, K.-J. Lee, W.-K. Park, and S.-H. Son, Orthogonality sampling method for identifying small anomalies in real-world microwave imaging, East Asian Journal on Applied Mathematics, 14 (2024), 293-313. 
  20. S. Kang, W.-K. Park, and S.-H. Son, A qualitative analysis of the bifocusing method for a real-time anomaly detection in microwave imaging, Computers & Mathematics with Applications, 137 (2023), 93-101. 
  21. W.-K. Park, Real-time microwave imaging of unknown anomalies via scattering matrix, Mechanical Systems and Signal Processing, 118 (2019), 658-674. 
  22. W.-K. Park, On the application of orthogonality sampling method for object detection in microwave imaging, IEEE Transactions on Antennas and Propagation, 71 (2023), 934-946. 
  23. S.-H. Son, K.-J. Lee, and W.-K. Park, Application and analysis of direct sampling method in real-world microwave imaging, Applied Mathematics Letters, 96 (2019), 47-53. 
  24. S.-H. Son and W.-K. Park, Application of the bifocusing method in microwave imaging without background information, Journal of the Korean Society for Industrial and Applied Mathematics, 27 (2023), 109-122. 
  25. M. Haynes, J. Stang, and M. Moghaddam, Real-time microwave imaging of differential temperature for thermal therapy monitoring, IEEE Transactions on Biomedical Engineering, 61 (2014), 1787-1797. 
  26. W.-K. Park, H. P. Kim, K.-J. Lee, and S.-H. Son, MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging, Journal of Computational Physics, 348 (2017), 259-270. 
  27. D. Colton and R. Kress, Inverse Acoustic and Electromagnetic Scattering Problems, Mathematics and Applications Series 93, Springer, New York, 1998. 
  28. K. Belkebir and M. Saillard, Special section: Testing inversion algorithms against experimental data, Inverse Problems, 17 (2001), 1565-1571.