Evaluation of the Frequency Scaling Prediction Techniques Using Experimental Data

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dc.contributor.authorJimoh, B. B
dc.contributor.authorAbdulrahman, A. Y
dc.contributor.authorFalade, A. J
dc.contributor.authorOniyide, O
dc.contributor.authorZakariyya, S. O
dc.contributor.authorRahman, T. A
dc.date.accessioned2021-06-02T12:51:08Z
dc.date.available2021-06-02T12:51:08Z
dc.date.issued2017
dc.description.abstractLong-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).en_US
dc.identifier.citationJimoh, B. B., Abdulrahman, A. Y., Falade, A. J., Oniyide, O., Zakariyya, S. O. & Rahman, T. A. (2017): Evaluation of the Frequency Scaling Prediction Techniques Using Experimental Data. Telecommunication and Radio Engineering Journal. 76(5); 433-442, Published by Begell House Inc, Available online at http://www.dl.begellhouse.com/journals/0632a9d54950b268,0d3460186f69c54c,574488304f35e68d.htmlen_US
dc.identifier.issn1943-6009
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/5793
dc.language.isoenen_US
dc.publisherPublished by Begell House Incen_US
dc.subjectfrequency scaling techniqueen_US
dc.subjectrain attenuation statisticsen_US
dc.subjecthuge receiver marginen_US
dc.subjecttropical climatesen_US
dc.titleEvaluation of the Frequency Scaling Prediction Techniques Using Experimental Dataen_US
dc.typeArticleen_US

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