Melola Discovery

← Melola Discovery

Jurnal SINTA 2

Prediction Method for Rain Rate and Rain Propagation Attenuation for K-Band Satellite Communications Links in Tropical Areas

Journal of ICT Research and Applications (JICTRA) · Vol. 8 No. 2 (2014) · pp. 85–96

DOI
10.5614/itbj.ict.res.appl.2014.8.2.1
ISSN
2338-5499, 2337-5787
Published
2014-06-02
Publisher
DRI - ITB
Language
eng

Abstract

This paper deals with the prediction method using hidden Markov model (HMM) for rain rate and rain propagation attenuation for K-band satellite communication link at tropical area. As is well known, the K-band frequency is susceptible of being affected by atmospheric condition, especially in rainy condition. The wavelength of K-band frequency which approaches to the size of rain droplet causes the signal strength is easily attenuated and absorbed by the rain droplet. In order to keep the quality of system performance for K-band satellite communication link, therefore a special attention has to be paid for rain rate and rain propagation attenuation. Thus, a prediction method for rain rate and rain propagation attenuation based on HMM is developed to process the measurement data. The measured and predicted data are then compared with the ITU-R recommendation. From the result, it is shown that the measured and predicted data show similarity with the model of ITU-R P.837-5 recommendation for rain rate and the model of ITU-R P.618-10 recommendation for rain propagation attenuation. Meanwhile, statistical data for measured and predicted data such as fade duration and interfade duration have insignificant discrepancy with the model of ITU-R P.1623-1 recommendation.

Collaboration network of the authors

31 authors · 62 co-authorship links · 21 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • Telkom University
  • Indonesian Institute of Sciences
  • State University of Jakarta
  • Pakuan University
  • Universitas Sangga Buana YPKP
  • Sumatera Institute of Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mohammad Ridwan EffendiBandung Institute of Technology3
Andriyan Bayu SuksmonoBandung Institute of Technology3
Rina Pudji AstutiBandung Institute of Technology2
Eko MarpanajiBandung Institute of Technology1
Armein Z. R. LangiBandung Institute of Technology1
Bamba Riyanto TrilaksonoAffiliation unknown1
Andri MahendraBandung Institute of Technology1
Thay LiungBandung Institute of Technology1
Iskandar IskandarAffiliation unknown1
Prasetiyono Hari MuktiBandung Institute of Technology1
Salik MukhlishinBandung Institute of Technology1
Dida Tuhu PutrantoTelkom University1
Heroe WijantoTelkom University1
Agus SubektiIndonesian Institute of Sciences1
Nana Rachmana SyambasBandung Institute of Technology1
Irma ZakiaBandung Institute of Technology1
Yana TaryanaIndonesian Institute of Sciences1
Mochamad YunusPakuan University1
Hardi NusantaraBandung Institute of Technology1
Hartuti MistialustinaUniversitas Sangga Buana YPKP1
Chairunnisa ChairunnisaBandung Institute of Technology1
Zulfi ZulfiBandung Institute of Technology1
Joko SuryanaBandung Institute of Technology1
Rheyuniarto Sahlendar AsthanSumatera Institute of Technology1
Budi SyihabuddinTelkom University1
Agus Dwi PrasetyoBandung Institute of Technology1
Deny HamdaniBandung Institute of Technology1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Prediction Method for Rain Rate and Rain Propagation Attenuation for K-Band Satellite Communications Links in Tropical Areas</dc:title>
	<dc:creator>Maruddani, Baso</dc:creator>
	<dc:creator>Kurniawan, Adit</dc:creator>
	<dc:creator>Sugihartono, Sugihartono</dc:creator>
	<dc:creator>Munir, Achmad</dc:creator>
	<dc:description xml:lang="en-US">This paper deals with the prediction method using hidden Markov model (HMM) for rain rate and rain propagation attenuation for K-band satellite communication link at tropical area. As is well known, the K-band frequency is susceptible of being affected by atmospheric condition, especially in rainy condition. The wavelength of K-band frequency which approaches to the size of rain droplet causes the signal strength is easily attenuated and absorbed by the rain droplet. In order to keep the quality of system performance for K-band satellite communication link, therefore a special attention has to be paid for rain rate and rain propagation attenuation. Thus, a prediction method for rain rate and rain propagation attenuation based on HMM is developed to process the measurement data. The measured and predicted data are then compared with the ITU-R recommendation. From the result, it is shown that the measured and predicted data show similarity with the model of ITU-R P.837-5 recommendation for rain rate and the model of ITU-R P.618-10 recommendation for rain propagation attenuation. Meanwhile, statistical data for measured and predicted data such as fade duration and interfade duration have insignificant discrepancy with the model of ITU-R P.1623-1 recommendation.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2014-06-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/729</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2014.8.2.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 8 No. 2 (2014); 85-96</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/729/527</dc:relation>
</oai_dc:dc>