Channel Equalization Using Fuzzy-ARTMAP

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概要

• 論文の詳細を見る

• This paper discusses the application of a fuzzy-ARTMAP neural network to digital communications channel equalization. This approach provides new solutions for solving the problems, such as complexity and long training, which found when implementing the previously developed neural-basis equalizers. The proposed fuzzy-ARTMAP equalizer is fast and easy to train and includes capabilities not found in other neural network approaches; a small number of parameters, no requirements for the choice of initial weights, automatic increase of hidden units, no risk of getting trapped in local minima, and the capability of adding new data without retraining previously trained data. In simulation studies, binary signals were generated at random in a linear channel with Gaussian noise. The performance of the proposed equalizer is compared with other neural net basis equalizers, specifically MLP and RBF equalizers.

• 一般社団法人電子情報通信学会の論文
• 2002-04-01

著者

• Han S

  Dongeui Univ. Pusan Kor

• LEE Jungsik

  Department of Electronic & Information Engineering, College of Engineering, Kunsan National Universi

• CHOI Yeonsung

  Department of Electronic & Information Engineering, College of Engineering, Kunsan National Universi

• LEE Jaewan

  Department of Electronic & Information Engineering, College of Engineering, Kunsan National Universi

• HAN Soowhan

  Department of Multimedia Engineering, College of Engineering, Dongeui University

• Han Soowhan

  Department Of Multimedia Engineering College Of Engineering Dongeui University

• Lee Jungsik

  Department Of Electronic & Information Engineering College Of Engineering Kunsan National Univer

• Choi Yeonsung

  Department Of Electronic & Information Engineering College Of Engineering Kunsan National Univer

関連論文

• Channel Equalization Using Fuzzy-ARTMAP
• Blind Channel Equalization Using Fourth-Order Cumulants(Wireless Communication Technologies)

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