Title :
Reduced-complexity equaliser for nonlinear channels
Author :
González-Serrano, F.J. ; Pérez-Cruz, F. ; Artés-Rodríguez, A.
Author_Institution :
ETSI Telecomunicacion, Vigo Univ., Spain
fDate :
4/30/1998 12:00:00 AM
Abstract :
The generalised cerebellar model arithmetic computer (GCMAC) network is applied to the problem of adaptive equalisation of nonlinear channels. The GCMAC-based equaliser is compared with other well-known structures such as the Volterra filter and the multi-layer perceptron. The results obtained show the effectiveness of the proposed structure for compensating strong nonlinearities
Keywords :
adaptive equalisers; decision feedback equalisers; telecommunication channels; GCMAC-based equaliser; adaptive equalisation; generalised cerebellar model arithmetic computer network; nonlinear channels; reduced-complexity equaliser;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980618
