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

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Reduced RBF Centers Based Multiuser Detection in DS-CDMA System

  • Lee, Jung-Sik (School of Electronics & Information Eng., Kunsan National University) ;
  • Hwang, Jae-Jeong (School of Electronics & Information Eng., Kunsan National University) ;
  • Park, Chi-Yeon (Dept. of Computer Science & Eng., Kwandong University)
  • 이정식 (군산대학교 전자정보공학부) ;
  • 화재정 (군산대학교 전자정보공학부) ;
  • 박지연 (관동대학교 컴퓨터공학과)
  • Published : 2006.11.30
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Abstract

The major goal of this paper is to develop a practically implemental radial basis function (RBF) neural network based multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work is expected to provide an efficient solution for RBF based MUD by quickly setting up the proper number of RBF centers and their locations required in training. The basic idea in this research is to estimate all the possible RBF centers by using supervised ${\kappa-means$ clustering technique, and select the only centers which locate near seemingly decision boundary between centers, and reduce further by grouping the some of centers adjacent each other. Therefore, it reduces the computational burden for finding the proper number of RBF centers and their locations in the existing RBF based MUD, and ultimately, make its implementation practical.

Keywords

References

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