DocumentCode
428213
Title
A novel blind multiuser detection algorithm based on support vector machines
Author
Zhu, Yan ; Xiao, Limin ; Zhou, Shidong ; Wang, Jing
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
3
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
1934
Abstract
We propose a novel method based on support vector machines (SVM) for blind multiuser detection. Compared with existing methods, this algorithm has the feature of shorter iterative length and higher robustness. Simulation results show that in a high SNR situation, our method has better BER performance than the normal minimum mean square error (MMSE) algorithm, such as Kalman (Zhang, X.-D. and Wei, W., IEEE Trans. Sig. Process., vol.50. p.87-95, 2002.).
Keywords
error statistics; iterative methods; multiuser detection; support vector machines; BER; MMSE algorithm; MUD; blind multiuser detection algorithm; communications signal processing; iterative length; minimum mean square error algorithm; robustness; support vector machines; Detectors; Iterative algorithms; Iterative methods; Kalman filters; Multiuser detection; Robustness; Signal processing algorithms; Support vector machine classification; Support vector machines; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1400375
Filename
1400375
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