RECONSTRUCTION OF BINARY SIGNALS USING AN ADAPTIVE RADIAL-BASIS-FUNCTION EQUALIZER

被引：85

作者：

CHEN, S

GIBSON, GJ

COWAN, CFN

GRANT, PM

机构：

[1] Department of Electrical Engineering, University of Edinburgh, Edinburgh, EH9 3JL, Mayfield Road

来源：

SIGNAL PROCESSING | 1991年 / 22卷 / 01期

关键词：

CHANNEL EQUALIZATION; RADIAL BASIS FUNCTIONS; ADAPTIVE ALGORITHMS;

D O I：

10.1016/0165-1684(91)90030-M

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：

This paper investigates the application of a non-linear structure to the adaptive channel equalization of a bipolar signal passed through a dispersive channel in the presence of additive noise. It is shown that the optimal equalization solution under the classical architecture of making decisions symbol-by-symbol is an inherently non-linear problem and therefore some degree of non-linear decision making ability is desirable in the equalizer structure. The radial-basis-function structure is considered as an adaptive equalizer and simulation examples are included to compare its performance with the optimal equalization solution. A brief comparison with the maximum likelihood sequence estimation is given and it is demonstrated that the non-linear filter approach can also be applied to the decision feedback equalizer.

引用

页码：77 / 93

页数：17

共 21 条

[1]

Belfiore, Park, Decision feedback equalization, Proc. IEEE, 67, pp. 1143-1156, (1979)

[2]

Broomhead, Lowe, Multivariable functional interpolation and adaptive networks, Complex Systems, 2, pp. 321-355, (1988)

[3]

Chen, Billings, Cowan, Grant, Non-linear systems identification using radial basis functions, Internat. J. Systems Sci., (1990)

[4]

Chen, Gibson, Cowan, Grant, Adaptive equalization of finite non-linear channels using multilayer perceptrons, Signal Processing, 20, 2, pp. 107-119, (1990)

[5]

Cowan, Grant, Adaptive Filters, (1985)

[6]

Cybenko, Approximations by superpositions of a sigmoidal function, Math. Control Signals Systems, 2, 4, pp. 303-314, (1989)

[7]

Forney, Maximum-likelihood sequence estimation of digital sequences in the presenceof intersymbol interference, IEEE Transactions on Information Theory, 18 IT, 3, pp. 363-378, (1972)

[8]

Gibson, Siu, Cowan, Application of multilayer perceptors as adaptive channel equalisers, Proc. IEEE Internat. Conf. Acoust. Speech Signal Process, pp. 1183-1186, (1989)

[9]

Lapedes, Farber, How neural nets work, Neural Information Processing Systems, pp. 442-456, (1988)

[10]

Lippmann, An introduction to computing with neural nets, IEEE ASSP Magazine, 4, (1987)

← 1 2 3 →