This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02)
Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures
Christchurch, New Zealand
January 29-January 31
ISBN: 0-7695-1453-7
Florent Carlier, INSA / LCST
Fabienne Nouvel, INSA / LCST
Jacques Citerne, INSA / LCST
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, pp.52, The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02), 2002
Usage of this product signifies your acceptance of the Terms of Use.