DocumentCode
3515946
Title
Adaptive channel equalization using neural network
Author
Albu, F. ; Mateescu, A. ; Mota, J.C.M. ; Dorizzi, B.
Author_Institution
Fac. of Electron., Politehnica Univ. of Bucharest, Romania
Volume
2
fYear
1998
fDate
9-13 Aug 1998
Firstpage
438
Abstract
This paper applies neural networks to the adaptive channel equalization of a bipolar signal passed through a dispersive channel in the presence of additive noise. The paper describes two neural networks which might be considered as adaptive equalizers. The simulation results confirm that the neural network equalizers offer a performance which exceeds that of linear structures. More specifically, this paper highlights the effects of delay order on the BER performance of nonlinear structures
Keywords
adaptive equalisers; dispersive channels; error statistics; multilayer perceptrons; noise; radial basis function networks; BER performance; adaptive channel equalization; additive noise; bipolar signal; delay order effects; dispersive channel; neural network equalizers; Adaptive equalizers; Additive noise; Bit error rate; Electrons; Maximum likelihood detection; Maximum likelihood estimation; Network address translation; Neural networks; Neurons; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International
Conference_Location
Sao Paulo
Print_ISBN
0-7803-5030-8
Type
conf
DOI
10.1109/ITS.1998.718433
Filename
718433
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