Volume 5, Issue 3, May 2017, Page: 44-50
Computation of Optimal Path Length for Terrestrial Line of Sight Microwave Link Using Newton–Raphson Algorithm
Mfon Emenyi, Department of Electrical/Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria
Kufre Udofia M., Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria
Obinwa Christian Amaefule, Department of Electrical/Electronic Engineering, Imo State University, Owerri, Nigeria
Received: Jan. 3, 2017;       Accepted: Jan. 18, 2017;       Published: Jun. 27, 2017
DOI: 10.11648/j.se.20170503.11      View  1616      Downloads  75
Abstract
This paper presents an efficient algorithm for determination of optimal path length of terrestrial line of sight microwave communication link. The algorithm computes and adjusts the path length based on the difference between the maximum fade depth the link can accommodate and the actual fade depth that is expected in the link. The algorithm uses Newton-Raphson iteration method to adjust the path length until it arrives at the optimal path length at which the maximum fade depth the link can accommodate and the actual fade depth that is expected in the link at the given set of link parameters. A numerical example is performed for a Ku-band microwave link at 12 GHz. The results show that after 4 cycle the algorithm converged when the path length dropped from its initial value of 19.9903km to the optimal value of 5.89Km. In addition, for free space, the initial value of 140.40dB drops to a value of 129.43dB at the optimal point and maximum fade depth dropped from initial value of 104.04dB to optimal value of 30.65dB.
Keywords
Newton–Raphson, Optimal Path Length, Microwave Link, Fade Margin, Fade Depth, Rain Fading, Multipath Fading
To cite this article
Mfon Emenyi, Kufre Udofia M., Obinwa Christian Amaefule, Computation of Optimal Path Length for Terrestrial Line of Sight Microwave Link Using Newton–Raphson Algorithm, Software Engineering. Vol. 5, No. 3, 2017, pp. 44-50. doi: 10.11648/j.se.20170503.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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