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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2062

Title: Sequential chaotic annealing neural network for CDMA multiuser detection
Authors: Bhardwaj, S
Keywords: quadratic integer
novel neural network
direct-sequence code
chaotic neural networks
Issue Date: 2002
Citation: Neural Information Processing, ICONIP Proceedings of the 9th International Conference on, 5, 2176 - 2180p.
Abstract: The optimum multiuser detection problem in the presence of noise is a quadratic integer programming problem which has been shown to be NP-complete. In this paper, we propose a novel neural network based multiuser detector for a direct-sequence code division multiple access system. The proposed detector combines the paradigms of chaotic neural networks and methods from sequential unconstrained minimization techniques. The proposed network is adaptive in the sense that the network "learns" the energy function to minimize. We show that the proposed network outperforms traditional methods such as the Hopfield net as well as as recent methods such as the transiently chaotic neural network.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2062
Appears in Collections:Electrical Engineering

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