Evaluation of the frequency scaling prediction techniques using experimental data

Long-term statistics of measured slant-path attenuation above Ku-band are severely scarce in the tropical climate; due to the huge capital costs involved in the experimental setup and receiver margin required, which is very difficult to obtain by using a spectrum analyzer. The received signal become...

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Main Authors: Jimoh, B. B., Abdulrahman, A. Y., Falade, A. J., Oniyide, O., Zakariyya, S. O., Rahman, T. A.
Format: Article
Published: Begell House Inc. 2017
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Online Access:http://eprints.utm.my/id/eprint/80823/
http://dx.doi.org/10.1615/TelecomRadEng.v76.i5.40
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spelling my.utm.808232019-07-23T09:01:54Z http://eprints.utm.my/id/eprint/80823/ Evaluation of the frequency scaling prediction techniques using experimental data Jimoh, B. B. Abdulrahman, A. Y. Falade, A. J. Oniyide, O. Zakariyya, S. O. Rahman, T. A. TK Electrical engineering. Electronics Nuclear engineering Long-term statistics of measured slant-path attenuation above Ku-band are severely scarce in the tropical climate; due to the huge capital costs involved in the experimental setup and receiver margin required, which is very difficult to obtain by using a spectrum analyzer. The received signal becomes masked at heavy rain rates owing to the high noise level therefore the signal level could not be monitored. Therefore the frequency scaling technique is a useful and powerful tool for estimating the attenuation at a desired frequency when the measurement data are available at a particular, usually lower, frequency. The results of measured rain attenuation from a tropical climate in Malaysia were used to investigate the performance of a few frequency scaling techniques. The experimental results were obtained from the four experimental microwave links (15, 22, 26, and 38 GHz at a separation distance of 300 m) installed at UTM campus, Johor Bahru, Malaysia. The results of the statistical analysis show that the ITU-R model is the most suitable for the lower frequency (26 GHz), while the Drufuca model is most suitable one for the higher frequency (38 GHz). Begell House Inc. 2017 Article PeerReviewed Jimoh, B. B. and Abdulrahman, A. Y. and Falade, A. J. and Oniyide, O. and Zakariyya, S. O. and Rahman, T. A. (2017) Evaluation of the frequency scaling prediction techniques using experimental data. Telecommunications and Radio Engineering, 76 (5). pp. 433-442. ISSN 0040-2508 http://dx.doi.org/10.1615/TelecomRadEng.v76.i5.40 DOI:10.1615/TelecomRadEng.v76.i5.40
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jimoh, B. B.
Abdulrahman, A. Y.
Falade, A. J.
Oniyide, O.
Zakariyya, S. O.
Rahman, T. A.
Evaluation of the frequency scaling prediction techniques using experimental data
description Long-term statistics of measured slant-path attenuation above Ku-band are severely scarce in the tropical climate; due to the huge capital costs involved in the experimental setup and receiver margin required, which is very difficult to obtain by using a spectrum analyzer. The received signal becomes masked at heavy rain rates owing to the high noise level therefore the signal level could not be monitored. Therefore the frequency scaling technique is a useful and powerful tool for estimating the attenuation at a desired frequency when the measurement data are available at a particular, usually lower, frequency. The results of measured rain attenuation from a tropical climate in Malaysia were used to investigate the performance of a few frequency scaling techniques. The experimental results were obtained from the four experimental microwave links (15, 22, 26, and 38 GHz at a separation distance of 300 m) installed at UTM campus, Johor Bahru, Malaysia. The results of the statistical analysis show that the ITU-R model is the most suitable for the lower frequency (26 GHz), while the Drufuca model is most suitable one for the higher frequency (38 GHz).
format Article
author Jimoh, B. B.
Abdulrahman, A. Y.
Falade, A. J.
Oniyide, O.
Zakariyya, S. O.
Rahman, T. A.
author_facet Jimoh, B. B.
Abdulrahman, A. Y.
Falade, A. J.
Oniyide, O.
Zakariyya, S. O.
Rahman, T. A.
author_sort Jimoh, B. B.
title Evaluation of the frequency scaling prediction techniques using experimental data
title_short Evaluation of the frequency scaling prediction techniques using experimental data
title_full Evaluation of the frequency scaling prediction techniques using experimental data
title_fullStr Evaluation of the frequency scaling prediction techniques using experimental data
title_full_unstemmed Evaluation of the frequency scaling prediction techniques using experimental data
title_sort evaluation of the frequency scaling prediction techniques using experimental data
publisher Begell House Inc.
publishDate 2017
url http://eprints.utm.my/id/eprint/80823/
http://dx.doi.org/10.1615/TelecomRadEng.v76.i5.40
_version_ 1643658527423594496
score 13.211869