Hopfield neural network for UWB multiuser detection

Authors:
Chia-Hsin Cheng;Guo-Jun Wen;Yung-Fa Huang
Affiliations:
The Department of Electrical Engineering, National Formosa University, Taiwan;The Institute of Communications Engineering, National Chung Cheng University, Taiwan;The Department of Information and Communication Engineering, Chaoyang University of Technology, Taiwan
Venue:
WSEAS TRANSACTIONS on COMMUNICATIONS
Year:
2009

Citing 7
Cited 1

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Abstract

The Hopfield neural network (HNN) is introduced in the paper and is proposed as an effective multiuser detection in direct sequence-ultra-wideband (DS-UWB) systems. It can approximate to maximum likelihood (ML) detector by mathematical analysis. According to the HNN-based technique, the computer simulation results show that they have good performances and much lower computational complexity in a multiuser environment.