Reduced-complexity equaliser for nonlinear channels
- 30 April 1998
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 34 (9) , 856-858
- https://doi.org/10.1049/el:19980618
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
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