한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제25권3A호
  • /
  • Pages.375-382
  • /
  • 2000
  • /
  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

C-BLRNN을 이용한 위성채널 등화기

Satellite communication Equalizer Using Complex Bilinear Recurrent Neural Network

  • 박동철 (명지대학교 정보제어공학과-정보통신교육센터) ;
  • 정태균 (명지대학교 정보제어공학과)
  • 발행 : 2000.03.01
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초록

Equalization of satellite communication using Complex-Bilinear Recurrent Neural Network(C-BLRNN) is proposed in this pater. Since the BLRNN is based on the bilinear polynomial and it has been more effectively used in modeling highly nonlinear systems with time-series characteristics than multi-layer perception type neural networks(MLPNN) , it can be applied to satellite equalizer. the proposed C-BLRNN based equalizer for M-PSK with a channel model is compared with Volterra filter Equalizer, DFE, and conventional Complex MLPNN Equlizer. The results show that the proposed C-BLRNN based equalizer gives very favorable results in both of MSE and BER criteria over other equalizers.

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참고문헌

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