Multiuser Detector Using Augmented Lagrange Multiplier-Transiently Chaotic Neural Networks
Xiaoping Zeng · Information and Electronic Engineering · 2006
In this paper,we propose a novel neural network based Multiuser Detector for Direct-Sequence Code Division Multiple Access system. The proposed detector incorporates augmented Lagrange multipliers into transiently chaotic neural.The proposed detector eliminates the need of the penalty term and guarantees solution validity. The simulation results show that the proposed network outperforms the Hopfield Net as well as the Transiently Chaotic Neural Networks in (Bit Error Rate,BER) performance.