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

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.