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Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti

Year 2019, Volume: 2 Issue: 1, 126 - 129, 30.12.2019

Abstract

Günümüzde anten tabanlı birçok sensör kullanılmakta olup, bu anten tabanlı sensörler ile farklı alanlarda tespit ve ölçüm yapılabilmektedir. Bu çalışmada toprak altındaki tünel ve boşluk tespiti için yüksek kazançlı geniş bantlı horn anten tasarlanmıştır. Tasarımın simülasyonu için elektromanyetik simülasyon programından faydalanılmıştır. Yapmış olduğumuz çalışmada kum malzemesi olarak simülasyon programının kütüphanesinden sandy soil materyali referans alınmıştır. İlk olarak horn antenlerin altına kum zemin yerleştirilmiş ve simüle edilmiştir. Ardından kum zeminde bir tünel açılmış ve elektromanyetik simülasyon programı kullanılarak simüle edilmiştir. Yapılan simülasyonların sonucunda S2,1 saçılma parametreleri kıyaslanarak tünelin konumu belirlenmiştir. Bu çalışma ileriki süreçlerde geliştirilebilir ve farklı anten tabanlı sensör çalışmalarına örnek olabilir.

References

  • Referans[1] Elektrikport, https://www.elektrikport.com/haber-roportaj/antenler-ve-cesitleri/16763#ad-image-0, Yıldızlı Proje Danışmanlık ve Eğitim, erişim tarihi: 05.05.2019
  • Referans[2] BALANİS, CA. Antenna Theory Analysis and Design. 2. Baskı. New York: John Wiley & Sons; 1997.
  • Referans[3] Johnson, R. C., Ecker, H. A., & Hollis, J. S. Determination of far-field antenna patterns from near-field measurements. Proceedings of the IEEE 1973; 61(12): 1668-1694.
  • Referans[4] Huang, Y., Boyle, K. Antennas: From Theory to Practice. 1. Baskı. United Kingdom: John Wiley & Sons; 2008.
  • Referans[5] Yeh, M. H. (2004). U.S. Patent No. 6,778,140. Washington, DC: U.S. Patent and Trademark Office.
  • Referans[6] Elboushi, A., & Sebak, A. MMW sensor for hidden targets detection and warning based on reflection/scattering approach. IEEE Transactions on Antennas and Propagation 2014; 62(9): 4890-4894.
  • Referans[7] Van Genechten, F. (2000). U.S. Patent No. 6,114,956. Washington, DC: U.S. Patent and Trademark Office.
  • Referans[8] Perez, D., Banerjee, D., Kwan, C., Dao, M., Shen, Y., Koperski, K., ... & Li, J. Deep learning for effective detection of excavated soil related to illegal tunnel activities. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) (pp. 626-632). IEEE, New York-USA, October 2017.
  • Referans[9] Monte, L. L., Erricolo, D., Soldovieri, F., & Wicks, M. C. Radio frequency tomography for tunnel detection. IEEE Transactions on Geoscience and Remote Sensing 2009; 48(3): 1128-1137.
  • Referans[10] Peterie, S., Miller, R., Morton, S., Wang, Y., Sloan, S., Moran, M., & Cudney, H. Tunnel detection using SH-wave diffraction imaging. In SEG Technical Program Expanded Abstracts 2016; (pp. 5006-5010). Society of Exploration Geophysicists.
  • Referans[11] Morton, S. L., Peterie, S. L., Ivanov, J., Miller, R. D., & Sloan, S. D. Joint interpretation of multicomponent surface-wave data for tunnel detection. In SEG Technical Program Expanded Abstracts 2017; (pp. 5458-5464). Society of Exploration Geophysicists.

Tunnel Detection with High-Gain WideBand Horn Antenna

Year 2019, Volume: 2 Issue: 1, 126 - 129, 30.12.2019

Abstract

Nowadays, many antenna based sensors are used, these antenna based sensors can be done detection and measurement in different areas. In this study, the high gain wideband horn antenna is designed for tunnel and space detection under the ground. Electromagnetic simulation program was used to simulate the design. Sandy soil material is taken as reference from the library of the simulation program as sand material. At first, the sand ground is placed under the horn antennas and simulated. Then, a tunnel was opened in the sand ground and simulated by using electromagnetic simulation program. As a result of the simulations, the position of the tunnel was determined by comparing the S2.1 scattering parameters. This work can be developed in the future and can be an example of different antenna based sensor studies.

References

  • Referans[1] Elektrikport, https://www.elektrikport.com/haber-roportaj/antenler-ve-cesitleri/16763#ad-image-0, Yıldızlı Proje Danışmanlık ve Eğitim, erişim tarihi: 05.05.2019
  • Referans[2] BALANİS, CA. Antenna Theory Analysis and Design. 2. Baskı. New York: John Wiley & Sons; 1997.
  • Referans[3] Johnson, R. C., Ecker, H. A., & Hollis, J. S. Determination of far-field antenna patterns from near-field measurements. Proceedings of the IEEE 1973; 61(12): 1668-1694.
  • Referans[4] Huang, Y., Boyle, K. Antennas: From Theory to Practice. 1. Baskı. United Kingdom: John Wiley & Sons; 2008.
  • Referans[5] Yeh, M. H. (2004). U.S. Patent No. 6,778,140. Washington, DC: U.S. Patent and Trademark Office.
  • Referans[6] Elboushi, A., & Sebak, A. MMW sensor for hidden targets detection and warning based on reflection/scattering approach. IEEE Transactions on Antennas and Propagation 2014; 62(9): 4890-4894.
  • Referans[7] Van Genechten, F. (2000). U.S. Patent No. 6,114,956. Washington, DC: U.S. Patent and Trademark Office.
  • Referans[8] Perez, D., Banerjee, D., Kwan, C., Dao, M., Shen, Y., Koperski, K., ... & Li, J. Deep learning for effective detection of excavated soil related to illegal tunnel activities. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) (pp. 626-632). IEEE, New York-USA, October 2017.
  • Referans[9] Monte, L. L., Erricolo, D., Soldovieri, F., & Wicks, M. C. Radio frequency tomography for tunnel detection. IEEE Transactions on Geoscience and Remote Sensing 2009; 48(3): 1128-1137.
  • Referans[10] Peterie, S., Miller, R., Morton, S., Wang, Y., Sloan, S., Moran, M., & Cudney, H. Tunnel detection using SH-wave diffraction imaging. In SEG Technical Program Expanded Abstracts 2016; (pp. 5006-5010). Society of Exploration Geophysicists.
  • Referans[11] Morton, S. L., Peterie, S. L., Ivanov, J., Miller, R. D., & Sloan, S. D. Joint interpretation of multicomponent surface-wave data for tunnel detection. In SEG Technical Program Expanded Abstracts 2017; (pp. 5458-5464). Society of Exploration Geophysicists.
There are 11 citations in total.

Details

Primary Language Turkish
Subjects Electrical Engineering
Journal Section Article
Authors

Cumali Kopmaz

Oğuzhan Akgöl

Muharrem Karaaslan

Emin Ünal

Publication Date December 30, 2019
Submission Date December 12, 2019
Acceptance Date January 10, 2020
Published in Issue Year 2019 Volume: 2 Issue: 1

Cite

APA Kopmaz, C., Akgöl, O., Karaaslan, M., Ünal, E. (2019). Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2(1), 126-129.
AMA Kopmaz C, Akgöl O, Karaaslan M, Ünal E. Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. December 2019;2(1):126-129.
Chicago Kopmaz, Cumali, Oğuzhan Akgöl, Muharrem Karaaslan, and Emin Ünal. “Yüksek Kazançlı Geniş Bantlı Horn Anten Ile Tünel Tespiti”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2, no. 1 (December 2019): 126-29.
EndNote Kopmaz C, Akgöl O, Karaaslan M, Ünal E (December 1, 2019) Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2 1 126–129.
IEEE C. Kopmaz, O. Akgöl, M. Karaaslan, and E. Ünal, “Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti”, Osmaniye Korkut Ata University Journal of Natural and Applied Sciences, vol. 2, no. 1, pp. 126–129, 2019.
ISNAD Kopmaz, Cumali et al. “Yüksek Kazançlı Geniş Bantlı Horn Anten Ile Tünel Tespiti”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2/1 (December 2019), 126-129.
JAMA Kopmaz C, Akgöl O, Karaaslan M, Ünal E. Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2019;2:126–129.
MLA Kopmaz, Cumali et al. “Yüksek Kazançlı Geniş Bantlı Horn Anten Ile Tünel Tespiti”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 2, no. 1, 2019, pp. 126-9.
Vancouver Kopmaz C, Akgöl O, Karaaslan M, Ünal E. Yüksek Kazançlı Geniş Bantlı Horn Anten ile Tünel Tespiti. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2019;2(1):126-9.

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