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
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;
Conference_Titel :
Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International
Conference_Location :
Sao Paulo
Print_ISBN :
0-7803-5030-8
DOI :
10.1109/ITS.1998.718433
