A joint iterative channel estimation and symbol detection algorithm for OFDM systems over time-varying channels

被引：0
|
作者：
Han, Hua [1 ]
Wu, Lenan [1 ]
机构：
[1] School of Information Science and Engineering, Southeast University
来源：
Gaojishu Tongxin/Chinese High Technology Letters | 2012年 / 22卷 / 04期
关键词：
Basic expansion model(BEM); Fast time-varying channels; Iterative channel estimation; Orthogonal frequency division multiplexing (OFDM); Successive interference cancellation(SIC);
D O I：
10.3772/j.issn.1002-0470.2012.04.005
中图分类号：
学科分类号：
摘要：
Based on the basic expansion model (BEM), a novel joint iterative channel estimation and symbol detection algorithm for orthogonal frequency division multiplexing (OFDM) systems over time-varying channels is proposed for elimination of inter-carrier interference (ICI) caused by rapidly time-varying channels. The algorithm combines the BEM based minimum mean square error (MMSE) channel estimation with a symbol detection method like the successive interference cancellation, and uses interpolation and filtering to further eliminate noise, and then obtains the more accurate symbol detection result through joint iterative calculation. Meanwhile, the algorithm obtains the tradeoff between complexity and performance by using the banded matrix approximation. The theoretical analysis and the simulation results show that the novel joint iterative channel estimation and symbol detection algorithm can effectively improve the system performance over fast time-varying channels.
引用
收藏
页码：363 / 367
页数：4
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