A CDMA Signal Receiver Based on LS-SVM

Author

Xiaogang, Fan ; Lei, Li ; Xiao, Chen

Author_Institution

Nanjing Univ. of Posts & Telecommun., Nanjing

fYear

2007

Firstpage

534

Lastpage

537

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2006.4347164

Filename

4347164

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1647097