Detection of code-division multiple access signals based on neural network

Abstract EN

Artificial Neural Networks are employed for demodulation of spread spectrum signals in a multiple-access environment.

In fact, the conventional matched filter receiver, when used in multi-user system, suffers from the interfering signals, so that when reducing this problem, we need to make the receiver in optimum state.

This receiver is too complex for practical use.

Two simple structures employing multilayer nodes are produced for demodulation of spread-spectrum signals.

The Neural Networks are trained for the demodulation of signals by using back propagation type algorithms.

A comparative analysis of the two receivers, the conventional and that employing Neural Network, has been presented.