MIMO Channel Estimation and Equalization Using Three-Layer Neural Networks with Feedback

被引：0
|
作者：
张玲
张贤达
机构：
[1] Beijing 100084 China
[2] Department of Automation Tsinghua University
[3] Department of Automation Tsinghua University
来源：
Tsinghua Science and Technology | 2007年 / 06期
基金：
中国国家自然科学基金;
关键词：
multiple input multiple output; channel equalization; channel estimation; artificial neural networks; symbol estimation;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算]; TN919.3 [数据传输技术];
学科分类号：
0810 ; 081001 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a channel estimation and equalization algorithm using three-layer artificial neural networks (ANNs) with feedback for multiple input multiple output wireless communication systems. An ANN structure with feedback was designed to use different learning algorithms in the different ANN lay- ers. This actually forms a Turbo iteration process between the different algorithms which effectively im- proves the estimation performance of the channel equalizer. Simulation results show that this channel equalization algorithm has better computational efficiency and faster convergence than higher order statis- tics based algorithms.
引用
收藏
页码：658 / 662
页数：5
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