Adaptive interference cancellation for DS-CDMA systems using neural network techniques.

The objective of this study is to apply and investigate a neural network-based decision feedback scheme for interference suppression in direct sequence code division multiple access (DS-CDMA) wireless networks. It is demonstrated that a decision feedback functional link equalizer (DFFLE) in combinat...

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Détails bibliographiques
Publié dans:	IEEE Journal on selected areas in communications 16, 9 (1998).
Auteur principal:	Das, K.
Format:	Article
Langue:	English
Sujets:	BER performance. Bayesian receiver. DFFLE receiver. DS-CDMA systems. Adaptive interference cancellation. Bit-error ratio. Convergence performance. Decision feedback. Decision feedback functional link equalizer. Demodulation. Detector configuration. Digital wireless network. Direct sequence code division multiple access. Downlink communication. Eigenvector network. Error propagation. Imperfect power control. Interference suppression. Interfering users. Multiuser environment. Neural network techniques. Nonlinear decision boundary. Single-user detection. Spreading codes.