Analysis of total signal decay and capacity of information data in wireless atmospheric communication links. Part 1

I. Juwiler, I. Bronfman, N. Blaunstein

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Introduction: Analysis of total signal decay is based on prognosis of the total path loss occurring in the atmospheric communication links, accounting for effects of gaseous structures attenuation and scattering, hydrometeors (rain, snow and clouds) absorption and attenuation, and turbulent structures fast fading on radio and optical signals passing atmospheric channels with fading. Purpose: To perform a novel methodology of definition and estimation of effects of decay, absorption, scattering, and fading of radio and optical signals propagating in atmospheric channels in various meteorological conditions. Results: Was analyzed the impact of gaseous structures, hydrometeors and turbulent structures in total path loss for link budget design and in degradation of data stream parameters, such as capacity, spectral efficiency and bit-error-rate, which lead in loss of information data signals passing such kinds of channels with fast fading and decrease of quality of service. An optimal algorithm was found of the total path loss prediction for various meteorological situations occurring in the real atmosphere at different heights and for various frequencies of radiated signals. A method was proposed of how to evaluate the data stream parameters, capacity, spectral efficiency and bit-error-rate, accounting for the effects of atmospheric turbulence impact on fast fading, which corrupts information passing such kinds of channels. All practical tests were illustrated by the use of the MATLAB utility. A new methodology was proposed on how to evaluate and estimate the capacity, the spectral efficiency, and the loss in energy and in the information data stream for different scenarios of radio and optical signals propagation via atmospheric channels with fading caused by different meteorological conditions. Practical relevance: The results obtained allow to achieve better accuracy of prognosis and increase quality of service in atmospheric communication channels.

Original languageEnglish
Pages (from-to)43-53
Number of pages11
JournalInformatsionno-Upravliaiushchie Sistemy
Issue number6
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Absorption
  • Attenuation
  • Bit-error rate
  • Capacity
  • Clouds
  • Fast fading
  • Gaseous structures
  • Hydrometeors
  • Rain
  • Ricean factor K
  • Scintillation index
  • Snow
  • Spectral efficiency
  • Turbulence

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization

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