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Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss

Received: 3 January 2017     Accepted: 10 January 2017     Published: 12 June 2017
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Abstract

In this paper, algorithm for applying Shibuya multiple knife edge diffraction method and modified ITU-R P 526-13 knife edge diffraction loss approximation model are presented. Particularly, in this paper, algorithm for using the two models for computing N knife edge diffraction loss is presented. Requisite mathematical expressions for the computations are first presented before the algorithm is presented. Then sample 10 knife edge obstructions are used to demonstrate the application of the algorithm for C-band 6 GHz microwave link. The results showed that for the 10 knife edge obstructions spread over a path the maximum virtual hop single knife edge diffraction loss is 14.97452dB and it occurred in virtual hop j =6 which has the highest diffraction parameter of 1.027072 and the highest line of site (LOS) clearance height of 8.480769m. The minimum virtual hop single knife edge diffraction loss is 7.881902 dB and it occurred in virtual hop j =9 which has the lowest diffraction parameter of 0.114761 as well as the lowest LOS clearance height of 0.628571m. The algorithm is useful for development of automated multiple knife edge diffraction loss system based on Shibuya method and the modified ITU-R P 526-13 knife edge diffraction loss approximation model.

Published in American Journal of Software Engineering and Applications (Volume 6, Issue 2)
DOI 10.11648/j.ajsea.20170602.13
Page(s) 29-34
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), 2017. Published by Science Publishing Group

Keywords

Single Knife Edge Diffraction, Diffraction Loss, ITU-R P 526-13 Model, Diffracting Parameter, Knife Edge Obstruction, Multiple Knife Edge Diffraction, Shibuya Diffracting Method

References
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[2] Nguyen, H. C., MacCartney, G. R., Thomas, T., Rappaport, T. S., Vejlgaard, B., & Mogensen, P. (2014, September). Evaluation of empirical ray-tracing model for an urban outdoor scenario at 73 GHz E-Band. In 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall) (pp. 1-6). IEEE.
[3] Al-Hourani, A., Kandeepan, S., & Jamalipour, A. (2014, December). Modeling air-to-ground path loss for low altitude platforms in urban environments. In 2014 IEEE Global Communications Conference (pp. 2898-2904). IEEE.
[4] Isa, A. K. M., Nix, A., & Hilton, G. (2015, November). Impact of diffraction and attenuation for material characterisation in millimetre wave bands. In Antennas & Propagation Conference (LAPC), 2015 Loughborough (pp. 1-4). IEEE.
[5] Rani, P., Chauhan, V., Kumar, S., & Sharma, D. (2014). A Review on Wireless Propagation Models. nternational Journal of Engineering and Innovative Technology (IJEIT), 3(11
[6] Rahimian, A., & Mehran, F. (2011, November). RF link budget analysis in urban propagation microcell environment for mobile radio communication systems link planning. In Wireless Communications and Signal Processing (WCSP), 2011 International Conference on (pp. 1-5). IEEE.
[7] EE, E. A., EE, M. W., & Wisniewski, E. (2015). Implementation of a MIMO Transceiver Using GNU Radio.
[8] Ahamed, M. M., & Faruque, S. (2015, May). Path loss slope based cell selection and handover in heterogeneous networks. In 2015 IEEE International Conference on Electro/Information Technology (EIT) (pp. 499-504). IEEE.
[9] Fan, W. H., Yu, L., Wang, Z., & Xue, F. (2014, December). The effect of wall reflection on indoor wireless location based on RSSI. In Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on (pp. 1380-1384). IEEE.
[10] Joubert, P. J. (2014). An investigation into the use of kriging for indoor Wi-Fi received signal strength estimation (Doctoral dissertation, NORTH WEST UNIVERSITY).
[11] Campista, M. E. M. (2014). Advanced routing protocols for wireless networks. John Wiley & Sons.
[12] Tyson, R. K. (2014). Fresnel and Fraunhofer diffraction and wave optics. In Principles and Applications of Fourier Optics. IOP Publishing, Bristol, UK.
[13] Pedrotti, L. S. (2008). Basic physical optics. Fundamentals of Photonics, 152-154.
[14] Östlin, E. (2009). On Radio Wave Propagation Measurements and Modelling for Cellular Mobile Radio Networks.
[15] Baldassaro, P. M. (2001). RF and GIS: Field Strength Prediction for Frequencies between 900 MHz and 28 GHz.
[16] Qing, L. (2005). GIS Aided Radio Wave Propagation Modeling and Analysis(Doctoral dissertation, Virginia Polytechnic Institute and State University).
[17] Barclay, L. W. (2003). Propagation of radiowaves (Vol. 502). Iet.
[18] Holm, P. D. (2004). Calculation of higher order diffracted fields for multiple-edge transition zone diffraction. IEEE Transactions on Antennas and Propagation, 52(5), 1350-1354.
[19] Durgin, G. D. (2009). The practical behavior of various edge-diffraction formulas. IEEE Antennas and Propagation Magazine, 51(3), 24-35.
[20] Sizun, H., & de Fornel, P. (2005). Radio wave propagation for telecommunication applications. Heidelberg: Springer
[21] Shibuya S (1983) A Basic Atlas of Radio-Wave Propagation. John Wiley & Sons, New York
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Cite This Article
  • APA Style

    Kalu Okore Ama, Constance Kalu, Aneke Chikezie. (2017). Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss. American Journal of Software Engineering and Applications, 6(2), 29-34. https://doi.org/10.11648/j.ajsea.20170602.13

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    ACS Style

    Kalu Okore Ama; Constance Kalu; Aneke Chikezie. Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss. Am. J. Softw. Eng. Appl. 2017, 6(2), 29-34. doi: 10.11648/j.ajsea.20170602.13

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    AMA Style

    Kalu Okore Ama, Constance Kalu, Aneke Chikezie. Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss. Am J Softw Eng Appl. 2017;6(2):29-34. doi: 10.11648/j.ajsea.20170602.13

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  • @article{10.11648/j.ajsea.20170602.13,
      author = {Kalu Okore Ama and Constance Kalu and Aneke Chikezie},
      title = {Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss},
      journal = {American Journal of Software Engineering and Applications},
      volume = {6},
      number = {2},
      pages = {29-34},
      doi = {10.11648/j.ajsea.20170602.13},
      url = {https://doi.org/10.11648/j.ajsea.20170602.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20170602.13},
      abstract = {In this paper, algorithm for applying Shibuya multiple knife edge diffraction method and modified ITU-R P 526-13 knife edge diffraction loss approximation model are presented. Particularly, in this paper, algorithm for using the two models for computing N knife edge diffraction loss is presented. Requisite mathematical expressions for the computations are first presented before the algorithm is presented. Then sample 10 knife edge obstructions are used to demonstrate the application of the algorithm for C-band 6 GHz microwave link. The results showed that for the 10 knife edge obstructions spread over a path the maximum virtual hop single knife edge diffraction loss is 14.97452dB and it occurred in virtual hop j =6 which has the highest diffraction parameter of 1.027072 and the highest line of site (LOS) clearance height of 8.480769m. The minimum virtual hop single knife edge diffraction loss is 7.881902 dB and it occurred in virtual hop j =9 which has the lowest diffraction parameter of 0.114761 as well as the lowest LOS clearance height of 0.628571m. The algorithm is useful for development of automated multiple knife edge diffraction loss system based on Shibuya method and the modified ITU-R P 526-13 knife edge diffraction loss approximation model.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Shibuya Method and Modified ITU Knife Edge Diffraction Loss Model for Computing N Knife Edge Diffraction Loss
    AU  - Kalu Okore Ama
    AU  - Constance Kalu
    AU  - Aneke Chikezie
    Y1  - 2017/06/12
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajsea.20170602.13
    DO  - 10.11648/j.ajsea.20170602.13
    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  - 29
    EP  - 34
    PB  - Science Publishing Group
    SN  - 2327-249X
    UR  - https://doi.org/10.11648/j.ajsea.20170602.13
    AB  - In this paper, algorithm for applying Shibuya multiple knife edge diffraction method and modified ITU-R P 526-13 knife edge diffraction loss approximation model are presented. Particularly, in this paper, algorithm for using the two models for computing N knife edge diffraction loss is presented. Requisite mathematical expressions for the computations are first presented before the algorithm is presented. Then sample 10 knife edge obstructions are used to demonstrate the application of the algorithm for C-band 6 GHz microwave link. The results showed that for the 10 knife edge obstructions spread over a path the maximum virtual hop single knife edge diffraction loss is 14.97452dB and it occurred in virtual hop j =6 which has the highest diffraction parameter of 1.027072 and the highest line of site (LOS) clearance height of 8.480769m. The minimum virtual hop single knife edge diffraction loss is 7.881902 dB and it occurred in virtual hop j =9 which has the lowest diffraction parameter of 0.114761 as well as the lowest LOS clearance height of 0.628571m. The algorithm is useful for development of automated multiple knife edge diffraction loss system based on Shibuya method and the modified ITU-R P 526-13 knife edge diffraction loss approximation model.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

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