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.

DSP implementation of a neural network based blind multiuser receiver for DS-CDMA communication systems / R.Fantacci; F.Guidi; F.Rastelli; D.Tarchi; P.Tortoli. - STAMPA. - 2:(2002), pp. 823-826. (Intervento presentato al convegno 14th International Conference on Digital Signal Processing tenutosi a Santorini, Greece nel 1-3 July 2002) [10.1109/ICDSP.2002.1028217].

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

FANTACCI, ROMANO;GUIDI, FRANCESCO;RASTELLI, TITO FILIPPO;TARCHI, DANIELE;TORTOLI, PIERO
2002

Abstract

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.
2002
Proceedings of the 14th International Conference on Digital Signal Processing, DSP 2002
14th International Conference on Digital Signal Processing
Santorini, Greece
1-3 July 2002
R.Fantacci; F.Guidi; F.Rastelli; D.Tarchi; P.Tortoli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/338925
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