Channel estimation and symbol detection for block transmission using data-dependent superimposed training

被引：134
|
作者：
Ghogho, M [1 ]
McLernon, D
Alameda-Hernandez, E
Swami, A
机构：
[1] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, W Yorkshire, England
[2] USA, Res Lab, Adelphi, MD 20783 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 03期
关键词：
block transmission; estimation; multipath channels; superimposed training;
D O I：
10.1109/LSP.2004.842283
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We address the problem of frequency-selective channel estimation and symbol detection using superimposed training. The superimposed training consists of the sum of a known sequence and a data-dependent sequence that is unknown to the receiver. The data-dependent sequence cancels the effects of the unknown data on channel estimation. The performance of the proposed approach is shown to significantly outperform existing methods based on superimposed training (ST).
引用
收藏
页码：226 / 229
页数：4
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