Title :
A method of multi-user detection based on Independent Component Analysis for DS-CDMA systems
Author :
Li, Xiao Hui ; Gao, W. ; Cheng, Y.
Author_Institution :
Sch. of Electron. Sci. & Technol., Anhui Univ., Hefei
Abstract :
The DS-CDMA signal model and the noisy linear independent component analysis (ICA) model are analyzed in this paper. Comparing these models shows that they have the same form. The adaptive minimum mean-square error (MMSE) multiuse detection based on ICA is proposed. It uses the output of adaptive MMSE multi-user detection to initialize the ICA iterations, not only the known spread information of interesting user is used to overcome the uncertainness of ICA, but also the character of statistical independence is used. The simulation results show that the performance is improved obviously.
Keywords :
code division multiple access; independent component analysis; iterative methods; least mean squares methods; multiuser detection; spread spectrum communication; DS-CDMA Systems; adaptive minimum mean-square error multiuse detection; multiuser detection; noisy linear independent component analysis model; spread information; Adaptive; Code-division multiple-access; Independent component analysis; MMSE; Multi-user detection;
Conference_Titel :
Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-86341-836-5