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A statistical approach for dynamic rain attenuation model

Research output: Contribution to conferenceConference paperpeer-review

Abstract

In this paper, we introduce a new statistical approach to model rain attenuation dynamics using a Markov process. We derive statistical properties of the rain attenuation data measured in second time interval in Ka band, and define four states in the Markov process. We synthesize the rain attenuation data using this 4-state Markov process by applying the statistical properties of the measured data, and compare statistical properties of the synthesized data to those of the measured data, such as probability density function (PDF), cumulative probability density function (CDF), level crossing rate, average fading duration, and average slope. The investigated results in this paper show that the statistical properties of the synthesized data are well matched to the measured one.

Original languageEnglish
Title of host publication29th AIAA International Communications Satellite Systems Conference 2011, ICSSC-2011
DOIs
StatePublished - 2011
Event29th AIAA International Communications Satellite Systems Conference 2011, ICSSC-2011 - Nara, Japan
Duration: 2011.11.282011.12.1

Publication series

Name29th AIAA International Communications Satellite Systems Conference 2011, ICSSC-2011

Conference

Conference29th AIAA International Communications Satellite Systems Conference 2011, ICSSC-2011
Country/TerritoryJapan
CityNara
Period11.11.2811.12.1

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Mechanical
  • Engineering - Electrical & Electronic
  • Communication & Media Studies
  • Engineering - Petroleum
  • Physics & Astronomy

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