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A transiently chaotic neural-network implementation of the CDMA multiuser detector

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3 Author(s)
Baoyun Wang ; Dept. of Inf. Eng., Nanjing Univ. of Posts & Telecommun., China ; Jingnan Nie ; Zhenya He

The complex dynamics of the chaotic neural networks makes it possible for them to escape from local minimum of the simple gradient descent neurodynamics. We use a transiently chaotic neural network to detect the CDMA multiuser signals and hence obtain an implementation scheme of the CDMA multiuser detector (TCNN-MD). Computer simulation results show that the proposed detector is clearly superior to Hopfield neural-network-based detector

Published in:

Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 5 )

Date of Publication:

Sep 1999

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