Reduced RBF centers based multi-user detection in DS-CDMA systems

Authors:
Jungsik Lee;Ravi Sankar;Jaejeong Hwang
Affiliations:
School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk, Korea;Department of Electrical Engineering, University of South Florida Tampa, FL;School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk, Korea
Venue:
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Year:
2006

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Abstract

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