Broadband wireless communications are going to be widespread by the Universal Mobile Telecommunications System (1MT/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 / Fantacci R.; Guidi F.; Rastelli F.; Tarchi D.; Tortoli P.. - STAMPA. - 2:(2002), pp. 1028217.823-1028217.826. (Intervento presentato al convegno 14th International Conference on Digital Signal Processing, DSP 2002 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
Tarchi D.;
2002
Abstract
Broadband wireless communications are going to be widespread by the Universal Mobile Telecommunications System (1MT/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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
