Time Diversity Analysis Based on Predicted Rain Attenuation at Ku, Ka and V-Bands using Synthetic Storm Technique

Hassan, Masmunaa; Islam, Md. Rafiqul; Habaebi, Mohamed Hadi; Alam, Moktarul; Z, Suriza A.; Badron, Khairayu; Basahel, Ahmed

doi:10.1109/iccce50029.2021.9467239

Cited by 1 publication

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“…It is obvious the difference of attenuation by using equation ( 10) is increasing with delay of time. Simulations using the Synthetic Storm Technique (SST) yielded temporal in non-real-time satellite communications in the frequency range 12 to 100 GHz, variety during rain attenuation [25][26][27].…”

Section: Time Diversity Technique By Using Sstmentioning

confidence: 99%

Prediction of Time Diversity Gain – Comparison Between ITU-R P.618-13 Using a Concept of Rain Rate with Delay and Synthetic Storm Technique

Alam

Hasan

Islam

et al. 2022

Int. J. Interact. Mob. Technol.

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Future satellite companies will use higher Ka and V bands. Rain fade is the most important issue in establishing reliable communication between Earth and satellites outside the 10 GHz band. The problem is exacerbated in the tropics by significant rainfall throughout the year. One way to deal with rainfall attenuation is to use a time-diversity strategy. Real-time rainfall attenuation data is needed to analyze time variability. However, data from higher frequency bands such as Ka and V bands cannot be used. As a result, the Synthetic Storm Technique (SST) was proposed to convert the measured real time rainfall data into rainfall attenuation data and predict the time diversity gain. The measured rainfall data was converted to rainfall attenuation data using the traditional SST method. Time diversity gains were predicted using Converted rainfall attenuation and the Matriciani model, and the measurements were significantly overestimated. A new concept of realtime rainfall with and without time delay is proposed and used to predict time diversity gain using ITU-R P. 618-13 and the measured rainfall distribution with delay. Therefore, the proposed method recommends using the measured long-term precipitation data to predict the gain from time diversity at the desired frequency.

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Section: Time Diversity Technique By Using Sstmentioning

confidence: 99%