DocumentCode
2364236
Title
Comparison of a neural network based receiver to the optimal and multistage CDMA multiuser detectors
Author
Kechriotis, George I. ; Manolakos, Elias S.
Author_Institution
Thinking Machines Corp., Cambridge, MA, USA
fYear
1995
fDate
31 Aug-2 Sep 1995
Firstpage
613
Lastpage
622
Abstract
We compare the Hopfield neural network (HNN) based CDMA multiuser detection to the optimal multiuser detector (OMD) and the suboptimal multistage detector (MSD). It is shown that the HNN receiver is a powerful generalization of the MSD. Moreover, it is shown that by fine tuning the parameters of the HNN it is possible to achieve BER performance that exceeds that of the MSD and gets very close to the optimal
Keywords
Hopfield neural nets; code division multiple access; radio receivers; signal detection; spread spectrum communication; telecommunication computing; Hopfield neural network; multistage CDMA multiuser detectors; neural network based receiver; optimal multiuser detector; parameter fine tuning; suboptimal multistage detector; Bit error rate; Detectors; Digital signal processing; Gaussian channels; Hopfield neural networks; Multiaccess communication; Multiuser detection; Neural networks; Recurrent neural networks; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-2739-X
Type
conf
DOI
10.1109/NNSP.1995.514936
Filename
514936
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