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Modeling of Microwave Cavities Based on SIBC-FDTD Method for EM Wave Focalization by TR Technique

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The time reversal (TR) techniques used in electromagnetics have been limited for a variety of reasons, including extensive computations, complex modeling and simulation, processes as well as, large-scale numerical analysis. In this paper, the SIBC-FDTD method is applied to address these issues and to efficiently model TR systems. An original curvilinear modeling method is also proposed for constructing various obstacles in a 2D microwave cavity and for processing the corners of the cavity. The EM waves’ spatio-temporal focalization has been realized, and results of the simulations further prove the accuracy and effectiveness of this modeling method. Furthermore, they demonstrate that the microwave cavity processes may significantly improve the focalization quality in terms of SSLL enhancement.
Rocznik
Tom
Strony
59--66
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • ESECA, Department of ENSEEIHT, National Polytechnic, Institute of Toulouse, Toulouse, France
autor
  • Mines Saint-Etienne, Centre of Microelectronics in Provence, Department of Flexible Electronics, Gardanne, France
  • XLIM Laboratory UMR-CNRS 7252, Institute of Technology of Angouleme, University of Poitiers, Poitiers, France
Bibliografia
  • [1] G. Lerosey et al., “Time reversal of electromagnetic waves and telecommunication”, Radio Science, vol. 40, pp. 1–10, 2005 (DOI:10.1029/2004RS003193).
  • [2] Q. Li, C. He, Q. Zhang, and K. Cheng, “Passive time reversal based hybrid time-frequency domain equalizer for underwater acoustic communication”, 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1–6, 2016 (DOI: 10.1109/ICSPCC.2016.7753713).
  • [3] H. Karami, F. Rachidi, M. Azadifar, and M. Rubinstein, “An Acoustic Time Reversal Technique to Locate a Partial Discharge Source: Two-Dimensional Numerical Validation”, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 27, pp. 2203–2205, 2020 (DOI: 10.1109/TDEI.2020.008837).
  • [4] M. D. Hossain and A. S. Mohan, “A comparative study of coherent time reversal minimum variance beamformers for breast cancer detection”, 2015 9th European Conference on Antennas and Propagation (EuCAP), pp. 1–5, 2015 (https://opus.lib.uts.edu.au/bitstream/10453/138599/4/Binder1.pdf).
  • [5] Y. Tao, T. Mu, and Y. Song, “Time reversal microwave imaging metod based on SF-ESPRIT for breast cancer detection”, 2017 3rd IEEE International Conference on Computer and Communications (ICCC), pp. 2094–2098, 2017 (DOI:10.1109/CompComm.2017.8322906).
  • [6] R. C. Qiu, C. Zhou, N. Guo, and J. Q. Zhang, “Time Reversal With MISO for Ultrawideband Communications: Experimental Results”, IEEE Antennas andWireless Propagation Letters, vol. 5, pp. 269–273, 2006 (DOI: 10.1109/LAWP.2006.875888).
  • [7] H. Ma, B. Wang, Y. Chen, and K. J. Ray Liu, “Time-Reversal Tunneling Effects for Cloud Radio Access Network”, IEEE Transactions on Wireless Communications, vol. 15, pp. 3030–3043, 2016 (DOI:10.1109/TWC.2016.2515089).
  • [8] P. Liao, B. Hu, Z. Lin, Q. Wen, and L. Zheng, “Effect of Signal Characteristics on Focusing Property of Time Reversal Electromagnetic Wave”, 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), pp. 1–3, 2019 (DOI :10.1109/ICMMT45702.2019.8992282).
  • [9] W. Lei and L. Yao, “Performance Analysis of Time Reversal Communication Systems”, IEEE Communications Letters, vol. 23, pp. 680–683, 2019 (DOI: 10.1109/LCOMM.2019.2901484).
  • [10] P. Kosmas and C. M. Rappaport, “FDTD-based time reversal for microwave breast cancer Detection-localization in three dimensions”, IEEE Transactions on Microwave Theory and Techniques, vol. 54, pp. 1921–1927, 2006 (DOI: 10.1109/TMTT.2006.871994).
  • [11] H. Terchoune, et al. “Investigation of space-time focusing of time reversal using FDTD”, 2009 IEEE MTT-S International Microwave Symposium Digest, pp. 273–276, 2009 (DOI:10.1109/MWSYM.2009.5165686).
  • [12] X. Wei, W. Shao, S. Shi, Y. Cheng, and B. Wang, “An Optimized Higher Order PML in Domain Decomposition WLP-FDTD Method for Time Reversal Analysis”, IEEE Transactions on Antennas and Propagation, vol. 64, pp. 4374–4383, 2016 (DOI:10.1109/TAP.2016.2596899).
  • [13] W. Fan, Z. Chen and W. J. R. Hoefer, “Source Reconstruction From Wideband and Band-Limited Responses by FDTD Time Reversal and Regularized Least Squares”, IEEE Transactions on Microwave Theory and Techniques, vol. 65, pp. 4785–4793, 2017 (DOI:10.1109/TMTT.2017.2737991).
  • [14] J. G. Maloney and G. S. Smith, “The use of surface impedance concepts in the finite-difference time-domain method”, IEEE Transactions on Antennas and Propagation, vol. 40, pp. 38–48, 1992 (DOI:10.1109/8.123351).
  • [15] Y. Mao, A. Z. Elsherbeni, S. Li, and T. Jiang, “Surface impedancje absorbing boundary for terminating FDTD simulations”, Applied Computational Electromagnetics Society Journal, pp. 1035–1046, 2014 (https://journals.riverpublishers.com/index.php/ACES/article/view/10807/9029).
  • [16] Y. Mao, A. Z. Elsherbeni, T. Jiang, and S. Li, “Mixed surface impedance boundary condition for FDTD simulations”, IET Microwaves, Antennas and Propagation, vol. 11, pp. 1197–1202, 2017 (DOI: 10.1049/iet-map.2016.0649).
  • [17] B. E. Anderson, M. Griffa, C. Larmat, T. J. Ulrich, and P. A. Johnson, “Time reversal”, Acoustics Today, vol. 4, pp. 5–16, 2008 (https://acousticstoday.org/time-reversal-brian-e-anderson/).
  • [18] H. Vallon, “Focusing High-Power Electromagnetic Waves Using Time-Reversal”, PhD thesis, University of Paris Saclay, 2016 (https://www.worldcat.org/title/focusing-high-power-electromagnetic-waves-using-time-reversal/oclc/948804731).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a2f98021-21fc-49a2-94b3-3dcf46875d51
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