Feedforward Neural Networks Used to Suppress#br#
the Single-Tone Interference in CDMA

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 1999, Vol. 22 ›› Issue (1): 29-33.

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Feedforward Neural Networks Used to Suppress#br# the Single-Tone Interference in CDMA

Du Guangzheng Du Libing

School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876

Received:1998-05-20 Online:1999-01-10

Abstract

Abstract: Two questiones are discussed.Firstly, a new type ofinterference suppressor was used to achieve the tone interference cancellation in DS-CDMA systems, which is constructed by app-
lying feedforwardneural networksbased on backpropagation algorithm to the nonlinear decision feedback interference suppressor(FNDFIS). Secondly, we also calculate the optimum weights of the networks by using optimization method. The performances were compared between FNDFIS and DFIS, and FNDFIS acts much better than DFIS.

Key words: CDMA, neural networks, tone interference, decisionfeedback, optimization calculation

CLC Number:

TN929.5
TN18

Du Guangzheng Du Libing. Feedforward Neural Networks Used to Suppress#br# the Single-Tone Interference in CDMA[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 1999, 22(1): 29-33.

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Feedforward Neural Networks Used to Suppress#br# the Single-Tone Interference in CDMA

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