Recurrent backpropagation networks receiver for modulated signals over noisy channels
Contributo in Atti di convegno
Data di Pubblicazione:
1996
Citazione:
Recurrent backpropagation networks receiver for modulated signals over noisy channels / A. Canegalli, L. Favalli, A. Mecocci, R. Pizzi - In: Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96). 2Piscataway, NJ, United States : IEEE, 1996. - ISBN 0780331095. - pp. 933-936 (( Intervento presentato al 8. convegno Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (Melecon 96) tenutosi a Bari nel 1996.
Abstract:
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.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
A. Canegalli, L. Favalli, A. Mecocci, R. Pizzi
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96). 2