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Electronic Design, Test and Applications, IEEE International Workshop on (2002)
Christchurch, New Zealand
Jan. 29, 2002 to Jan. 31, 2002
ISBN: 0-7695-1453-7
pp: 52
Fabienne Nouvel , INSA / LCST
Florent Carlier , INSA / LCST
Jacques Citerne , INSA / LCST
ABSTRACT
In the upcoming high transmission rate system, based on code division multiple access, standard multi-user detection methods are restricted because of performance and implementation complexity issues. To end up with this issue, self-organized neural networks are proposed. An optimal multi-user detector can be implemented, by using Growing Grid network.
INDEX TERMS
NEURAL NETWORK, MULTI-USER DETECTION, GROWING GRID, KOHONEN, CDMA
CITATION
Fabienne Nouvel, Florent Carlier, Jacques Citerne, "Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures", Electronic Design, Test and Applications, IEEE International Workshop on, vol. 00, no. , pp. 52, 2002, doi:10.1109/DELTA.2002.994588
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