RECURRENT RADIAL BASIS FUNCTION NETWORKS FOR OPTIMAL SYMBOL-BY-SYMBOL EQUALIZATION

被引：25

作者：

CIDSUEIRO, J

ARTESRODRIGUEZ, A

FIGUEIRASVIDAL, AR

机构：

[1] ETSI Telecommunicación-UPM, 28040 Madrid, Desp. A 102-L, Ciudad Universitaria

[2] ETSI Telecomunicación, Universidad de Vigo

[3] ETSI Telecomunicación, Universidad Politécnica de Madrid (UPM)

来源：

SIGNAL PROCESSING | 1994年 / 40卷 / 01期

关键词：

NEURAL EQUALIZERS; OPTIMAL DETECTION; SOFT DECISION; BLIND EQUALIZATION;

D O I：

10.1016/0165-1684(94)90021-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, starting from showing that a recurrent version of a radial basis function (RBF) network can compute optimal symbol-by-symbol decisions for equalizing digital channels in digital communication systems, we present structures for non-Gaussian channel equalization and delayed decisions. To reduce the complexity of the structure, which grows exponentially with the memory of the channel (like that of Viterbi detectors), we propose some simplification options, preserving parallelism and near-optimal performance. Algorithms to apply this structures to blind equalization problems, using a novel non-decision directed learning rule to estimate the channel response, are also given. A general discussion about neural equalizers, several simulation results, and some conclusions complete the paper.

引用

页码：53 / 63

页数：11

共 16 条

[1]

Arcens, Cid-Sueiro, Figueiras-Vidal, Pao networks for data transmission equalization, Proc. Internat. Joint Conf. on Neural Networks, 2, pp. 963-967, (1992)

[2]

Callender, Cowan, Two novel non-linear approaches to channel equalization in digital communications, Proc. 2nd Cost #229 WG. 4 Workshop on Adaptive Algorithms in Communications, pp. 247-254, (1992)

[3]

Chen, Mulgrew, Mc Laughlin, Grant, Adaptive Bayesian equaliser with feedback for mobile radio channels, Proc. 2nd Cost #229 WG. 4 Workshop Adaptive Algorithms in Communications, pp. 111-120, (1992)

[4]

Cid-Sueiro, Figueiras-Vidal, Optimal symbol-by-symbol and sequential nonlinear channel equalizers using neural network structures, Proc. 1st Cost #229 WG. 4 Workshop, (1992)

[5]

Cid-Sueiro, Figueiras-Vidal, Recurrent radial basis function networks for optimal blind equalization, Proc. 1993 IEEE-SP Workshop on Neural Networks for Signal Processing, pp. 562-571, (1993)

[6]

Cid-Sueiro, Figueiras-Vidal, Improving conventional equalizers with neural networks, Internat. Workshop on Applications of Neural Networks to Telecommunications, pp. 20-26, (1993)

[7]

Cid-Sueiro, Weruaga-Prieto, Figueiras-Vidal, Optimal blind equalization of Gaussian channels, Internat. Workshop on Artificial Neural Networks, pp. 605-610, (1993)

[8]

Clark, Adaptive Detectors for Digital Modems, (1989)

[9]

CDlark, Adaptive Detectors for Digital Modems, (1989)

[10]

Gibson, Siu, Cowan, The application of nonlinear structures to the reconstruction of binary signals, IEEE Trans. Signal Process., 39, 8, pp. 1887-1894, (1991)

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