Channel Equalization for QAM Signal Constellation Using Wavelet Transform and Neural Network

  • Lee, Seok-Won (Dept of Control & Instrumentation Engineering, Kangwon National University) ;
  • Nam, Boo-Hee (Dept of Electrical and Computer Engineering, Kangwon National University)
  • Published : 2000.10.01

Abstract

Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. We proposed a new scheme of equalization for constellation using discrete wavelet transform(DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.

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