Title :
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.
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;
Conference_Titel :
Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference
Conference_Location :
Phoenix Park
Print_ISBN :
89-5519-129-4
DOI :
10.1109/ICACT.2006.206080
