Abstract
A decision feedback recurrent neural equalizer (DFRNE), a nonlinear Infinite Impulse Response (IIR) filter, has already been proposed successfully for the channel equalization problem [1, 2]. In this paper, we introduce a complex version of a DFRNE. Its small size and high performance makes it attractive for channel equalization. We evaluate its performance through computer simulations for various complex channels and derive that its convergence is more stable and robust than that of other equalizers. It is also shown that the complex DFRNE outperforms other equalization schemes when the channel distortion is profound.
| Original language | English |
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| Pages | 57-61 |
| Number of pages | 5 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 IEEE Global Telecommunications Mini-Conference - Phoenix, AZ, USA Duration: 1997 Nov 3 → 1997 Nov 8 |
Other
| Other | Proceedings of the 1997 IEEE Global Telecommunications Mini-Conference |
|---|---|
| City | Phoenix, AZ, USA |
| Period | 97/11/3 → 97/11/8 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Global and Planetary Change