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Prediction method for rain rate and rain propagation attenuation for K-band satellite communications links in Tropical areas
Maruddani B.a, Kurniawan A.b, Sugihartonob, Munir A.b
a State University of Jakarta, Jakarta Timur, Indonesia
b Radio Telecommunication and Microwave Laboratory, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2014, Published by ITB Journal Publisher.This paper deals with a prediction method using the hidden Markov model (HMM) for rain rate and rain propagation attenuation for K-band satellite communications links in tropical areas. As is well known, the K-band frequency is susceptible of being affected by atmospheric conditions, especially rain conditions. The wavelength of the K-band frequency, which approaches the size of a rain droplet, causes the signal strength to be attenuated and absorbed easily by the rain droplets. Therefore, in order to maintain the quality of system performance for K-band satellite communications links, special attention has to be paid to rain rate and rain propagation attenuation. Thus, a prediction method for rain rate and rain propagation attenuation based on HMM was developed to process measurement data. The measured and predicted data were then compared with ITU-R recommendations. The results indicate that the data show similarity with the model of recommendation ITU-R P.837-5 for rain rate and the model of recommendation ITU-R P.618-10 for rain propagation attenuation. Meanwhile, statistical data for measured and predicted data such as fade duration and interfade duration show insignificant discrepancies with the model of recommendation ITU-R P.1623-1[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Hidden markov model,K-band frequency,Rain propagation attenuation,Rain rate,Satellite communications link,Tropical area[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.5614/itbj.ict.res.appl.2014.8.2.1[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]