American Journal of Software Engineering and Applications

| Peer-Reviewed |

Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method

Received: 03 January 2017    Accepted: 10 January 2017    Published: 03 February 2017
Views:       Downloads:

Share This Article

Abstract

In this paper, application of Epstein-Peterson method in the computation of a ten (10) multiple knife edge diffraction loss is presented for a 1 GHz microwave link. In the computation, each of the ten obstructions gave rise to a virtual hop which resulted in a knife edge diffraction loss. What is peculiar to the Epstein-Peterson method is how the virtual hops are identified or defined. The overall diffraction loss, according to the Epstein-Peterson method is the sum of the diffraction loss computed for each of the ten virtual hops. In the results, the highest LOS clearance height of 5.727273 m occurred in virtual hop 5 whereas the highest diffraction parameter of 0.333333 and the highest virtual hop diffraction loss of 8.908754dB occurred in virtual hop1. The lowest LOS clearance height of 0.4 m, the lowest diffraction parameter 0.029814 and the lowest virtual hop diffraction loss, 6.290874 dB occurred in virtual hop 9. In all, the overall effective diffraction loss for the 10 knife edge obstructions as computed by the Epstein-Peterson is 69.93384 dB.

DOI 10.11648/j.ajsea.20170601.11
Published in American Journal of Software Engineering and Applications (Volume 6, Issue 1, February 2017)
Page(s) 1-4
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Multiple Knife Edge, Diffraction Loss, Diffraction Parameter, Line of Sight, Clearance Height, Virtual Hop, Epstein-Peterson Method

References
[1] Bibb, D. A., Dang, J., Yun, Z., & Iskander, M. F. (2014, July). Computational accuracy and speed of some knife-edge diffraction models. In 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) (pp. 705-706). IEEE.
[2] Lazaridis, P. I., Kasampalis, S., Zaharis, Z. D., Cosmas, J. P., Paunovska, L., & Glover, I. (2015, May). Longley-Rice model precision in case of multiple diffracting obstacles. In URSI Atlantic Conference, Canary Islands.
[3] Zeng, D., Lu, G., & Zhang, R. (2015, October). Radiowave propagation loss measurement of different situated Knife-Edge problems and comparison with PO computing. In Microwave, Antenna, Propagation, and EMC Technologies (MAPE), 2015 IEEE 6th International Symposium on (pp. 40-43). IEEE.
[4] Han, T., Kuang, Z., Wang, H., & Li, X. (2015, April). Study on the multiple diffraction for UWB signals under NLOS environment in WSNs. In 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering. Atlantis Press.
[5] Topcu, S., Goktas, P., Karasan, E., & Altintas, A. (2015, September). A new approach to diffraction modelling for line-of-sight (LOS) paths. In Antennas and Propagation in Wireless Communications (APWC), 2015 IEEE-APS Topical Conference on (pp. 696-699). IEEE.
[6] Baldassaro, P. M. (2001). RF and GIS: Field Strength Prediction for Frequencies between 900 MHz and 28 GHz.
[7] Boban, M., Vinhoza, T. T., Ferreira, M., Barros, J., & Tonguz, O. K. (2011). Impact of vehicles as obstacles in vehicular ad hoc networks. IEEE journal on selected areas in communications, 29 (1), 15-28.
[8] Phillips, C., Sicker, D., & Grunwald, D. (2013). A survey of wireless path loss prediction and coverage mapping methods. IEEE Communications Surveys & Tutorials, 15 (1), 255-270.
[9] Östlin, E. (2009). On Radio Wave Propagation Measurements and Modelling for Cellular Mobile Radio Networks.
[10] Valtr, P., Pechac, P., & Grabner, M. (2015). Inclusion of Higher Order Diffracted Fields in the Epstein–Peterson Method. IEEE Transactions on Antennas and Propagation, 63 (7), 3240-3244.
[11] See, T. S., Qing, X., Liu, W., & Chen, Z. N. (2015). A Wideband Ultra-Thin Differential Loop-Fed Patch Antenna for Head Implants. IEEE Transactions on Antennas and Propagation, 63 (7), 3244-3248.
[12] Bibb, D. A., Dang, J., Yun, Z., & Iskander, M. F. (2014, July). Computational accuracy and speed of some knife-edge diffraction models. In 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) (pp. 705-706). IEEE.
[13] Kasampalis, S., Lazaridis, P. I., Zaharis, Z. D., Bizopoulos, A., Paunovska, L., Zettas, S., ... & Cosmas, J. (2015, June). Longley-Rice model prediction inaccuracies in the UHF and VHF TV bands in mountainous terrain. In 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (pp. 1-5). IEEE.
[14] Acar, T., Çalışkan, F., & Aydın, E. (2015, April). Comparison of computer-based propagation models with experimental data collected in an urban area at 1800 MHz. In Wireless and Microwave Technology Conference (WAMICON), 2015 IEEE 16th Annual (pp. 1-6). IEEE.
[15] Sizun, H., & de Fornel, P. (2005). Radio wave propagation for telecommunication applications. Heidelberg: Springer.
[16] ITU-R P.526-13, “Propagation by diffraction,” November 2013.
[17] Rieche, M., Ihlow, A., Heyn, T., Pérez-Fontán, F., & Del Galdo, G. (2015, May). Land mobile satellite propagation characteristics from knife-edge diffraction modeling and hemispheric images. In 2015 9th European Conference on Antennas and Propagation (EuCAP) (pp. 1-4). IEEE.
Author Information
  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

  • Department of Electrical/Computer Engineering, Port Harcourt Polytechnic, Rumuola, Port Harcourt, Nigeria

  • Department of Electrical/Computer Engineering, Port Harcourt Polytechnic, Rumuola, Port Harcourt, Nigeria

Cite This Article
  • APA Style

    Wali Samuel, Trust Christopher Oguichen, Steve Worgu. (2017). Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method. American Journal of Software Engineering and Applications, 6(1), 1-4. https://doi.org/10.11648/j.ajsea.20170601.11

    Copy | Download

    ACS Style

    Wali Samuel; Trust Christopher Oguichen; Steve Worgu. Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method. Am. J. Softw. Eng. Appl. 2017, 6(1), 1-4. doi: 10.11648/j.ajsea.20170601.11

    Copy | Download

    AMA Style

    Wali Samuel, Trust Christopher Oguichen, Steve Worgu. Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method. Am J Softw Eng Appl. 2017;6(1):1-4. doi: 10.11648/j.ajsea.20170601.11

    Copy | Download

  • @article{10.11648/j.ajsea.20170601.11,
      author = {Wali Samuel and Trust Christopher Oguichen and Steve Worgu},
      title = {Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method},
      journal = {American Journal of Software Engineering and Applications},
      volume = {6},
      number = {1},
      pages = {1-4},
      doi = {10.11648/j.ajsea.20170601.11},
      url = {https://doi.org/10.11648/j.ajsea.20170601.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajsea.20170601.11},
      abstract = {In this paper, application of Epstein-Peterson method in the computation of a ten (10) multiple knife edge diffraction loss is presented for a 1 GHz microwave link. In the computation, each of the ten obstructions gave rise to a virtual hop which resulted in a knife edge diffraction loss. What is peculiar to the Epstein-Peterson method is how the virtual hops are identified or defined. The overall diffraction loss, according to the Epstein-Peterson method is the sum of the diffraction loss computed for each of the ten virtual hops. In the results, the highest LOS clearance height of 5.727273 m occurred in virtual hop 5 whereas the highest diffraction parameter of 0.333333 and the highest virtual hop diffraction loss of 8.908754dB occurred in virtual hop1. The lowest LOS clearance height of 0.4 m, the lowest diffraction parameter 0.029814 and the lowest virtual hop diffraction loss, 6.290874 dB occurred in virtual hop 9. In all, the overall effective diffraction loss for the 10 knife edge obstructions as computed by the Epstein-Peterson is 69.93384 dB.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Computation of 10 Knife Edge Diffraction Loss Using Epstein-Peterson Method
    AU  - Wali Samuel
    AU  - Trust Christopher Oguichen
    AU  - Steve Worgu
    Y1  - 2017/02/03
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajsea.20170601.11
    DO  - 10.11648/j.ajsea.20170601.11
    T2  - American Journal of Software Engineering and Applications
    JF  - American Journal of Software Engineering and Applications
    JO  - American Journal of Software Engineering and Applications
    SP  - 1
    EP  - 4
    PB  - Science Publishing Group
    SN  - 2327-249X
    UR  - https://doi.org/10.11648/j.ajsea.20170601.11
    AB  - In this paper, application of Epstein-Peterson method in the computation of a ten (10) multiple knife edge diffraction loss is presented for a 1 GHz microwave link. In the computation, each of the ten obstructions gave rise to a virtual hop which resulted in a knife edge diffraction loss. What is peculiar to the Epstein-Peterson method is how the virtual hops are identified or defined. The overall diffraction loss, according to the Epstein-Peterson method is the sum of the diffraction loss computed for each of the ten virtual hops. In the results, the highest LOS clearance height of 5.727273 m occurred in virtual hop 5 whereas the highest diffraction parameter of 0.333333 and the highest virtual hop diffraction loss of 8.908754dB occurred in virtual hop1. The lowest LOS clearance height of 0.4 m, the lowest diffraction parameter 0.029814 and the lowest virtual hop diffraction loss, 6.290874 dB occurred in virtual hop 9. In all, the overall effective diffraction loss for the 10 knife edge obstructions as computed by the Epstein-Peterson is 69.93384 dB.
    VL  - 6
    IS  - 1
    ER  - 

    Copy | Download

  • Sections