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Analysis and modeling of the cloud impairments of satellite-to-land mobile channel at Ku and Ka bands


Citation

Al-Saegh, Ali Mohammed and Sali, Aduwati and Ismail, Alyani and Jit Singh, Mandeep Singh (2014) Analysis and modeling of the cloud impairments of satellite-to-land mobile channel at Ku and Ka bands. In: 2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASMS/SPSC), 8-10 Sept. 2014, Livorno, Italy. (pp. 436-441).

Abstract / Synopsis

Cloud impairments have significant effect on signal propagated in the satellite to land stationary terminals channel at frequencies above 10 GHz. With the recent satellite to land mobile terminals network technologies and services that use these frequencies, there is a lack of channel impairments modeling and analysis for such type of link. This study presents a reliable channel model of satellite-to-land mobile terminals that consider dynamic cloudy weather impairments. The cloud’s dynamic parameters and their effect on the Rician factor are modeled. The model involves modules that design multipath signals, direct clear line-of-sight (LOS) normalized signals, and cloud impairments. Results show that a considerable change occurs in the performance of the signal propagated through the cloud. The change appears as deviations in the fade depth and the variance of the propagated signal in the link between the satellite and the land mobile terminals. The channel model is a realistic approach to the link characteristics, which satellite systems designers should consider when designing high data rate satellite systems.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: 10.1109/ASMS-SPSC.2014.6934579
Publisher: IEEE
Keywords: Channel modeling; Satellite communications; Cloud impairiment; Satellite-to-land mobile link; Ku and Ka bands
Depositing User: Samsida Samsudin
Date Deposited: 19 Nov 2014 09:24
Last Modified: 28 Jul 2016 15:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ASMS-SPSC.2014.6934579
URI: http://psasir.upm.edu.my/id/eprint/32294
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