Subspace Separator and Functional Link Neural Network Based Receiver for DS-CDMA Signal

Author

Li, Chengliang ; Zheng, Weiyu

Author_Institution

Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.

Volume

1

fYear

2006

fDate

20-22 Feb. 2006

Firstpage

782

Lastpage

785

Abstract

In DS-CDMA communication systems, each user is distinguished by a unique spreading code to modulate binary data. At the side of the receiver, the signal for the desired user must be separated from the summed signal. This paper presents a subspace separator and functional link neural network based method to separate the desired user and eliminate the co-channel and interference as well as additional Gaussian noise. At last some computer simulation results of the receiver combining these two techniques are given

Keywords

Gaussian noise; code division multiple access; decision feedback equalisers; multiuser detection; neural nets; spread spectrum communication; DS-CDMA communication systems; Gaussian noise; decision feedback equalizer; functional link neural network based receiver; multi-user detection; multipath environment; spreading code; subspace separator; Additive noise; Computer simulation; Detectors; Equalizers; Gaussian noise; Interference elimination; Modulation coding; Multiaccess communication; Neural networks; Particle separators; DS-CDMA; equalizer; functional link neural network; subspace separator;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference

Conference_Location

Phoenix Park

Print_ISBN

89-5519-129-4

Type

conf

DOI

10.1109/ICACT.2006.206080

Filename

1625685