On modified complex recurrent neural network adaptive equalizer

被引：9
|
作者：
Jiang, HR [1 ]
Kwak, KS [1 ]
机构：
[1] Inha Univ, Dept Elect Engn, Nam Ku, Inchon 402751, South Korea
来源：
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2002年 / 11卷 / 01期
关键词：
D O I：
10.1142/S0218126602000276
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new modified version called decision feedback complex recurrent neural network equalizer (DFCRNNE) is proposed with the study of complex recurrent neural network equalizer (CRNNE). Based on DFCRNNE, a modified real time recurrent learning (CRTRL) algorithm is developed. Simulation results show that DFCRNNE has better performance than CRNNE based on traditional CRTRL algorithm(2) in complex nonlinear channels with severe intersymbol interference (ISI) and nonlinear distortion.
引用
收藏
页码：93 / 101
页数：9
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