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
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;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
Print_ISBN :
0-7803-8521-7
DOI :
10.1109/VETECF.2004.1400375
