Channel estimation and symbol detection for OFDM systems using data-nulling superimposed pilots

被引：16
|
作者：
Dou, Gaoqi [1 ]
He, Chunquan [1 ]
Li, Congying [1 ]
Gao, Jun [1 ]
机构：
[1] Naval Univ Engn, Dept Commun Engn, Wuhan, Peoples R China
来源：
ELECTRONICS LETTERS | 2014年 / 50卷 / 03期
基金：
中国国家自然科学基金;
关键词：
geometry; learning (artificial intelligence); object recognition; geometric features; 3D range data; three-dimensional range data; tree recognition; human recognition; off-road environment; AdaBoost learning algorithm; discriminative features;
D O I：
10.1049/el.2013.2832
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：
A novel data-nulling superimposed pilot scheme for orthogonal frequency division multiplexing (OFDM) systems is proposed, where the input data vector is spread over all the subcarriers by a precoding matrix and then nulled at certain subcarriers for the insertion of training pilots. This method avoids the loss of the data rate for frequency-division multiplexed pilots, but results in the distortion of input data. To mitigate the distortion introduced by the nulling operation, a simple iterative reconstruction scheme is used to improve the detection performance.
引用
收藏
页码：179 / 180
页数：2
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