Recurrent backpropagation networks receiver for modulated signals over noisy channels

Recurrent backpropagation networks have been used to build up a neural receiver for GSM signals. The simulations have been carried out considering an AWGN channel. Corrupted by ISI, fading and Doppler. The experimental results show that the neural receiver performs better than a classic coherent one and it improves its performances when the number of training samples is increased.