標題: | Generalized MLP/BP-based MIMO DFEs for overcoming ISI and ACI in band-limited channels |
作者: | Hsu, Terng-Ren Chen, Chi-Shi Hsu, Terng-Yin Lee, Chen-Yi 電子工程學系及電子研究所 Department of Electronics Engineering and Institute of Electronics |
公開日期: | 2007 |
摘要: | in this work, we base on generalized multi-layered perceptron neural networks with backpropagation algorithm (Generalized MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The proposal is used to recover distorted nonretum-to-zero (NRZ) data in wireline parallel bandlimited channels. From the simulations, we note that the proposed design can recover severe distorted NRZ data as well as suppress intersymbol interference (ISI), adjacent channel interference (ACI) and background noise. The better BER performance as compared to a set of LMS DFEs and an MLPIBP-based MIMO DFE is achieved in the wireline parallel band-limited channels where the data rate is ten times as much as the channel bandwidth. |
URI: | http://hdl.handle.net/11536/12167 |
ISBN: | 978-1-4244-0582-4 |
期刊: | 2007 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Proceedings of Technical Papers |
起始頁: | 103 |
結束頁: | 106 |
顯示於類別: | 會議論文 |