Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Communication Channel Equalization Using Adaptive Neural Net

적응 신경망을 이용한 통신 채널 등화

  • 김정수 (동국대학교 전자공학과) ;
  • 권용광 (동국대학교 전자공학과) ;
  • 김민수 (동국대학교 전자공학과) ;
  • 이대학 (동국대학교 전자공학과) ;
  • 이상윤 (동국대학교 전자공학과) ;
  • 김재공 (동국대학교 전자공학과)
  • Published : 1999.06.01
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Abstract

This paper investigates a RBF(Radial Basis Function) equalizer for channel equalization. RBF network has an identical structure to the optimal Bayesian symbol-decision equalizer solution. Therefore RBF can be employed to implement the Bayesian equalizer. Proposed algorithm of this paper makes channel states estimation to be unncessary, also makes center number which is needed indivisual channel to be minimum. Bayesian Equalizer has the theorical optimum performance. Proposed Equalizer performance is compared with this Baysian equalizer performance.

Keywords