NDLI: Multiuser detection using simulated annealing Hopfield neural network for DS-UWB systems

Content Provider	IEEE Xplore Digital Library
Author	Yung-Cheng Yao Chia-Hsin Cheng Guo-Jun Wen Jyh-Horng Wen
Copyright Year	2011
Description	Author affiliation: The Institute of Communications Engineering, National Chung Cheng University, Taiwan (Guo-Jun Wen) \|\| The Department of Electrical Engineering, National Chung Cheng University, Taiwan (Yung-Cheng Yao) \|\| The Department of Electrical Engineering, Tunghai University, Taiwan (Jyh-Horng Wen) \|\| The Department of Electrical Engineering, National Formosa University, Taiwan (Chia-Hsin Cheng)
Abstract	The authors introduced the simulated annealing Hopfield neural network and applied it to multiuser detection in direct sequence-ultra-wideband (DS-UWB) systems in this paper. The conventional HNN algorithm may converge easily to local minimum. In order to solve this problem, the authors proposed modified HNN based on simulated annealing (SA) method which can avoid local minimum problem. From simulation results, the HNN detector based on SA method provided an attractive performance. The HNN detector based on SA method could be implemented easily on hardware circuit in the multiuser DS-UWB systems.
Starting Page	763
Ending Page	768
File Size	250662
Page Count	6
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Multiuser detection Simulated annealing Cooling Machine learning Channel models Hopfield neural networks SA Neural network Hopfield
Content Type	Text
Resource Type	Article

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