DSP implementation of a neural network based blind multiuser receiver for DS-CDMA communication systems

Broadband wireless communications are going to be widespread by the Universal Mobile Telecommunications System (IMT/2000), which is based on Wideband-Code Division Multiple Access (W-CDMA) techniques. Adaptive Blind Multiuser Detection, widely proposed for the mobile station receiver, reaches the optimum solution after a certain number of bit times. In this paper we propose the implementation on a fixed point Digital Signal Processor (DSP) architecture of the adaptive blind algorithm based on a neural approach. A modified Kennedy-Chua neural network, based on the Hopfield model, is proposed in this work, and its implementation on a fixed point numerical environment has been studied by means of computer simulation. Finally we briefly talk about a medium level implementation of the algorithm on a Texas Instruments DSP.