Title :
A CDMA Signal Receiver Based on LS-SVM
Author :
Xiaogang, Fan ; Lei, Li ; Xiao, Chen
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing
Abstract :
This paper discusses an adaptive kernel nonlinear learning algorithm which is based on LS-SVM for code division multiple access (CDMA) system. LS-SVM uses mean squared error criterion. An advantage of it is that the algorithm can be implemented adaptively on-line. The LS-SVM detectors have advantages in that they have moderate complexity, can be implemented adaptively, and require only training sequence data from the desired user.
Keywords :
code division multiple access; least squares approximations; mean square error methods; receivers; support vector machines; telecommunication computing; CDMA signal receiver; LS-SVM detectors; adaptive kernel nonlinear learning algorithm; code division multiple access system; mean squared error criterion; Detection algorithms; Detectors; Gaussian noise; Multiaccess communication; Multiuser detection; Quadratic programming; Risk management; Support vector machine classification; Support vector machines; Training data; CDMA; LS-SVM; MUD;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347164
