DocumentCode
552492
Title
Multiuser detection using simulated annealing Hopfield neural network for DS-UWB systems
Author
Yao, Yung-cheng ; Cheng, Chia-Hsin ; Wen, Guo-jun ; Wen, Jyh-horng
Author_Institution
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Volume
2
fYear
2011
fDate
10-13 July 2011
Firstpage
763
Lastpage
768
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.
Keywords
Hopfield neural nets; simulated annealing; ultra wideband communication; DS-UWB systems; HNN algorithm; HNN detector; direct sequence-ultra-wideband systems; hardware circuit; multiuser detection; simulated annealing Hopfield neural network; Channel models; Cooling; Detectors; Hopfield neural networks; Machine learning; Multiuser detection; Simulated annealing; Hopfield; Neural network; SA;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016758
Filename
6016758
Link To Document