Abstract
A new approach for the decision feedback equalizer (DFE) based on the functional-link neural network is described. The structure is applied to the problem of adaptive equalization in the presence of intersymbol interference (ISI), additive white Gaussian noise, and co-channel interference (CCI). It is shown through simulation results for a severe amplitude distorted co-channel system that the decision feedback functional-link equalizer (DFFLE) provides significantly superior bit-error rate (BER) performance characteristics compared to the conventional DFE, the linear transversal equalizer (LTE), the nonlinear radial basis function (RBF) neural-network-based structures and the feed-forward functional-link equalizer (FFLE)-based structures. The DFFLE is also shown to have a significantly simpler computational requirement relative to the RBF and the FFLE.
| Original language | English |
|---|---|
| Pages (from-to) | 1358-1362 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Communications |
| Volume | 45 |
| Issue number | 11 |
| DOIs | |
| State | Published - 1997 |
| Externally published | Yes |
Keywords
- Co-channel interference suppression
- Decision feedback equalizers
- Neural networks
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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