A blind equalization algorithm of complex-valued bilinear recursive neural network

被引：0
|
作者：
Zhang, XQ [1 ]
Lurui [1 ]
Wang, HK [1 ]
Zhang, LY [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Informat Engn, Tiayuan 030024, Peoples R China
来源：
Proceedings of the Third International Symposium on Magnetic Industry (ISMI'04) & First International Symposium on Physics and IT Industry (ISITI'04) | 2005年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
As a key technology of the digital communication system, blind equalization can overcome intersymbol interference (ISI) and improve communication quality. In this paper, we propose a new blind equalization algorithm based on a complex-valued bilinear recursive neural network (BLRNN). and design a new transmission function and cost function. Results of the simulation verify the effectiveness of the proposed algorithm.
引用
收藏
页码：321 / 323
页数：3
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