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

Content Provider	IEEE Xplore Digital Library
Author	Al-Saegh, A.M. Sali, A. Ismail, A. Mandeep, J.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. & Commun. Syst. Eng., Univ. Putra Malaysia (UPM), Serdang, Malaysia (Al-Saegh, A.M.; Sali, A.; Ismail, A.) \|\| Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia (UKM), Bangi, Malaysia (Mandeep, J.S.)
Abstract	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.
Starting Page	436
Ending Page	441
File Size	963710
Page Count	6
File Format	PDF
ISBN	9781479958931
DOI	10.1109/ASMS-SPSC.2014.6934579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-08
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Clouds Atmospheric modeling Conferences Ku and Ka bands Mobile communication cloud impairiment satellite-to-land mobile link Channel models satellite communications Meteorology Channel modeling
Content Type	Text
Resource Type	Article

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