Free space optical communication: Detector array aperture for optical communication through thin clouds

Research output: Contribution to journalConference articlepeer-review

Abstract

Optical communication must contain clouds as parts of communication channels. Propagation of optical pulses through clouds causes widening in the spatial domain and attenuation of the pulse radiant power. These effects decrease the received signal and increase bit error rate (BER). One way to improve the BER of the communication system is by using adaptive methods to obtain more signal relative to noise power. Based on mathematical models of spatial widening of optical radiation derived by Monte-Carlo simulation, a mathematical model for optimum performance of digital optical communication through clouds is developed. The purpose of the optimum adaptive communication system suggested here is to improve the BER by optimizing according to meteorological conditions the spatial distribution of the detected radiation beam using a detector array where the external amplification of each detector is adaptable. Comparison and analysis of three models of communication systems in fog cloud channels are presented: 1) the optimum adaptive detector array aperture, 2) an ordinary single detector aperture of the same size, and 3) a small detector aperture. Improvement of more than four orders of magnitude in bit error rate under certain conditions is possible with the new adaptive system model.

Original languageEnglish
Pages (from-to)112-121
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2471
DOIs
StatePublished - 15 Jun 1995
EventAtmospheric Propagation and Remote Sensing IV 1995 - Orlando, United States
Duration: 17 Apr 199521 Apr 1995

Keywords

  • Adaptive optical communication
  • Beam broadening
  • Detector array
  • Free space optical communication
  • Optical communication
  • Satellite communication

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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