电子科技2012，Vol.25Issue(5)：26-29,33,5.
基于部分数据的叠加序列慢时变信道估计
Slow Time-varying Channel Estimation Based on Part-data-dependent Superimposed Training
王鹏鹏 1胡金辉 1侯海涛1
作者信息
- 1. 西安电子科技大学电子工程学院,陕西西安710071
- 折叠
摘要
Abstract
This paper researches the OFDMA communication system,and proposes a new channel estimation algorithm using part-data-dependent superimposed training（PDDST）.Recovery method of data at the receiver is given.Time-varying channel is modeled by complex-exponential basis expansion model（CE-BEM）.The pilots of the OFDMA system have been designed carefully.In the frequency domain,the data is to be launched minus a sequence based on part of the data.After the Fourier transform,a part of data which will be sent has lower power in time domain,and errors produced by Channel estimation are greatly reduced.Since the signal launched has been distorted,we propose compensation for information data to avoid reducing the performance of data recovery.Simulations prove that this method can significantly improve the performance of channel estimation.关键词
叠加导频/信道估计/基扩展模型/正交频分多址Key words
superimposed training/channel estimation/basis expansion model/OFDMA分类
信息技术与安全科学引用本文复制引用
王鹏鹏,胡金辉,侯海涛..基于部分数据的叠加序列慢时变信道估计[J].电子科技,2012,25(5):26-29,33,5.
