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