Enhancing performance of next generation FSO communication systems using soft computing-based predictions

Kamugisha Kazaura*, Kazunori Omae, Toshiji Suzuki, Mitsuji Matsumoto, Edward Mutafungwa, Timo O. Korhonen, Tadaaki Murakami, Koichi Takahashi, Hideki Matsumoto, Kazuhiko Wakamori, Yoshinori Arimoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)


The deterioration and deformation of a free-space optical beam wave-front as it propagates through the atmosphere can reduce the link availability and may introduce burst errors thus degrading the performance of the system. We investigate the suitability of utilizing soft-computing (SC) based tools for improving performance of free-space optical (FSO) communications systems. The SC based tools are used for the prediction of key parameters of a FSO communications system. Measured data collected from an experimental FSO communication system is used as training and testing data for a proposed multi-layer neural network predictor (MNNP) used to predict future parameter values. The predicted parameters are essential for reducing transmission errors by improving the antenna's accuracy of tracking data beams. This is particularly essential for periods considered to be of strong atmospheric turbulence. The parameter values predicted using the proposed tool show acceptable conformity with original measurements.

Original languageEnglish
Pages (from-to)4958-4968
Number of pages11
JournalOptics Express
Issue number12
Publication statusPublished - 2006

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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