Blind adaptive multiuser detection using a recurrent neural network

2004 International Conference on Communications, Circuits and Systems

Volumn 2, Issue , 2004, Pages 1071-1075

  Liu, Shubao ^a   Wang, Jun ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Blind adaptive detection; CDMA; Multiuser Detection; Nonlinear optimization; Recurrent neural networks

Indexed keywords

CODE DIVISION MULTIPLE ACCESS; COMPUTER SIMULATION; OPTIMIZATION; PROBLEM SOLVING; SIGNAL INTERFERENCE; WIRELESS TELECOMMUNICATION SYSTEMS;

BLIND ADAPTIVE DETECTION; MINIMUM OUTPUT ENERGY (MOE); MULTIUSER DETECTION; NONLINER OPTIMIZATION;

RECURRENT NEURAL NETWORKS;

EID: 11244260395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. S. Verdú, Multiuser Detection, Cambridge University Press, New York, 1998.
2. U. Madhow, "Blind adaptive interference suppression for Direct-Sequence CDMA," Proceedings of the IEEE, vol. 86, no. 10, October 1998.
3. M. Honig, U. Madhow, and S. Verdú, "Blind adaptive multiuser detection," IEEE Trans. Info. Theory, vol. 41, no. 1, July 1995.
4. M P. Kennedy and L. O. Chua, "Neural networks for nonlinear programming," IEEE Trans. Circ. Syst., vol. 35, no. 5, pp. 554-562, May 1988.
5. R. Fantacci, M. Forti, M. Marini, D. Tarchi, and G. Vannuccini, "A neural network for constrained optimization with application to CDMA communication systems," IEEE Trans. Circ. Syst., vol. 50, no. 8, August 2003.
6. Y. Xia, J. Wang, and L. Fok, "Grasping force optimization for multifingered robotic hands using an recurrent neural network," IEEE Trans Rob. Aut., in press, 2004.
7. Y. Xia and J. Wang, "A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints," IEEE Trans. Circ. Syst., in press, 2004.
8. MS. Bazaraa, H.D. Sherali, and C.M. Shetty, Nonlinear Programming-Theory and Algorithms, John Wiley, New York, 2nd edition, 1993.
9. D. Kinderlehrer and G. Stampcchia, An Introduction to Variational Inequalities and Their Applications, Academic Press, New York, 1980.
10. Y. Wang, J. Li, and L. Jiao, "A novel multiuser detector using the stochastic Hopfield network in CDMA communication system," Proc. of IEEE International Conf. on Commun., Circ. and Syst., vol. 2, pp. 1132-1135, 2002.
11. G.I. Kechriotis and E.S. Manolakos, "Hopfield neural network implementation of the optimal CDMA multiuser detector," IEEE Trans, on Neural Networks, vol. 7, pp. 131-141, January 1996.