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Christchurch, New Zealand
Jan. 29, 2002 to Jan. 31, 2002
ISBN: 0-7695-1453-7
pp: 52
Florent Carlier , INSA / LCST
Fabienne Nouvel , 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
Florent Carlier, Fabienne Nouvel, Jacques Citerne, "Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures", DELTA, 2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002 2002, pp. 52, doi:10.1109/DELTA.2002.994588
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