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.