Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band

Severe tropical weather dynamics impairments on the earth-sky signal quality at the Ku-band relative to temperate weather increase the demand for land mobile satellite (LMS) channel characterization and modeling specific to tropical regions. Variation in weather dynamics decreases the accuracy of th...

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Main Authors: Al-Saegh, Ali M., Sali, Aduwati, Mandeep, Jit Singh, Fontan, Fernando Perez
Format: Article
Language:English
Published: IEEE 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61078/1/Channel%20measurements%2C%20characterization%2C%20and%20modeling%20for%20land%20mobile%20satellite%20terminals%20in%20tropical%20regions%20at%20Ku-band.pdf
http://psasir.upm.edu.my/id/eprint/61078/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7464863&tag=1
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spelling my.upm.eprints.610782019-05-08T04:01:36Z http://psasir.upm.edu.my/id/eprint/61078/ Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band Al-Saegh, Ali M. Sali, Aduwati Mandeep, Jit Singh Fontan, Fernando Perez Severe tropical weather dynamics impairments on the earth-sky signal quality at the Ku-band relative to temperate weather increase the demand for land mobile satellite (LMS) channel characterization and modeling specific to tropical regions. Variation in weather dynamics decreases the accuracy of the existing LMS channel models if applied to the tropics. This paper presents a tropical weather-aware LMS channel model that can be applied at areas with diverse atmospheric (rain, clouds, and tropospheric scintillation) and mobility impairments. The proposed tropical-LMS channel (TRO-LMSC) model is designed based on actual experimental measurements conducted in a tropical area. The TRO-LMSC model involves multipath design, mobility model, rain impairment model, cloud impairment model, tropospheric scintillation model, and link budget module (LBM). The proposed model shows improved channel modeling accuracy and comprehensiveness with relatively less root mean square error (rmse), compared with existing models. Consequently, this improvement enhances the identification of the type and performance of the fade mitigation technique, the management of available communication resources, and the reliability and efficiency of the communication services. IEEE 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61078/1/Channel%20measurements%2C%20characterization%2C%20and%20modeling%20for%20land%20mobile%20satellite%20terminals%20in%20tropical%20regions%20at%20Ku-band.pdf Al-Saegh, Ali M. and Sali, Aduwati and Mandeep, Jit Singh and Fontan, Fernando Perez (2017) Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band. IEEE Transactions on Vehicular Technology, 66 (2). pp. 897-911. ISSN 0018-9545 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7464863&tag=1 10.1109/TVT.2016.2563038
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Severe tropical weather dynamics impairments on the earth-sky signal quality at the Ku-band relative to temperate weather increase the demand for land mobile satellite (LMS) channel characterization and modeling specific to tropical regions. Variation in weather dynamics decreases the accuracy of the existing LMS channel models if applied to the tropics. This paper presents a tropical weather-aware LMS channel model that can be applied at areas with diverse atmospheric (rain, clouds, and tropospheric scintillation) and mobility impairments. The proposed tropical-LMS channel (TRO-LMSC) model is designed based on actual experimental measurements conducted in a tropical area. The TRO-LMSC model involves multipath design, mobility model, rain impairment model, cloud impairment model, tropospheric scintillation model, and link budget module (LBM). The proposed model shows improved channel modeling accuracy and comprehensiveness with relatively less root mean square error (rmse), compared with existing models. Consequently, this improvement enhances the identification of the type and performance of the fade mitigation technique, the management of available communication resources, and the reliability and efficiency of the communication services.
format Article
author Al-Saegh, Ali M.
Sali, Aduwati
Mandeep, Jit Singh
Fontan, Fernando Perez
spellingShingle Al-Saegh, Ali M.
Sali, Aduwati
Mandeep, Jit Singh
Fontan, Fernando Perez
Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
author_facet Al-Saegh, Ali M.
Sali, Aduwati
Mandeep, Jit Singh
Fontan, Fernando Perez
author_sort Al-Saegh, Ali M.
title Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
title_short Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
title_full Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
title_fullStr Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
title_full_unstemmed Channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at Ku-band
title_sort channel measurements, characterization, and modeling for land mobile satellite terminals in tropical regions at ku-band
publisher IEEE
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/61078/1/Channel%20measurements%2C%20characterization%2C%20and%20modeling%20for%20land%20mobile%20satellite%20terminals%20in%20tropical%20regions%20at%20Ku-band.pdf
http://psasir.upm.edu.my/id/eprint/61078/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7464863&tag=1
_version_ 1643837500267954176
score 13.160551