Abstract
In order to improve the performance and simplify the structure of the equalizer using bilinear recursive polynomial perceptron (BRPE), a new equalizer, which is a equalizer using bilinear recursive polynomial perceptron with decision feedback (BRPDFE), is proposed. The proposed BRPDFE is compared with the BRPE in terms of mean square error (MSE). And the performance is compared with the conventional decision feedback equalizer (DFE), the multilayer perceptron decision feedback equalizer (MLPDFE) and the BRPE in terms of bit-error rate (BER) in two data transmission systems. One is a digital communication system in which the dominant distortion factor is intersymbol interference (ISI). And the other is a digital storage system in which the primary interference element is nonlinear distortion. The results from analysis and simulation show that the proposed BRPDFE is superior to the other equalizers. Moveover, the BRPDFE has the simpler structure than the other equalizers.
| Original language | English |
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| Pages | 366-371 |
| Number of pages | 6 |
| Publication status | Published - 2000 |
| Event | International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy Duration: 2000 Jul 24 → 2000 Jul 27 |
Other
| Other | International Joint Conference on Neural Networks (IJCNN'2000) |
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| City | Como, Italy |
| Period | 00/7/24 → 00/7/27 |
All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence