基于训练序列的改进OFDM同步算法

针对正交频分复用系统对同步偏差的敏感性,设计了两种同时具备频偏估计能力的新训练序列,并给出了相应的定时尺度函数和频偏估计函数.利用训练序列的共轭对称性及部分数据的运算符号相反的特性,进行相关运算得到定时估计值和频偏估计值.理论分析和仿真结果表明,新训练序列的定时尺度非常尖锐,且不受循环前缀长度的影响;在加性高斯白噪声环境下,定时估计均值和均方误差均为零,实现了精确的定时同步;新频偏估计函数在保持了估计精度的同时扩大了频偏估计范围,且在信噪比较低时,新频偏估计算法仍具有很好的估计性能....

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Published in计算机应用研究 Vol. 31; no. 6; pp. 1808 - 1811
Main Author 张爽 冷文 王安国 姬雨初
Format Journal Article
LanguageChinese
Published 天津大学电子信息工程学院,天津,300072 2014
Subjects
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2014.06.049

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Abstract 针对正交频分复用系统对同步偏差的敏感性,设计了两种同时具备频偏估计能力的新训练序列,并给出了相应的定时尺度函数和频偏估计函数.利用训练序列的共轭对称性及部分数据的运算符号相反的特性,进行相关运算得到定时估计值和频偏估计值.理论分析和仿真结果表明,新训练序列的定时尺度非常尖锐,且不受循环前缀长度的影响;在加性高斯白噪声环境下,定时估计均值和均方误差均为零,实现了精确的定时同步;新频偏估计函数在保持了估计精度的同时扩大了频偏估计范围,且在信噪比较低时,新频偏估计算法仍具有很好的估计性能.
AbstractList TN911.22%TP301.6; 针对正交频分复用系统对同步偏差的敏感性,设计了两种同时具备频偏估计能力的新训练序列,并给出了相应的定时尺度函数和频偏估计函数.利用训练序列的共轭对称性及部分数据的运算符号相反的特性,进行相关运算得到定时估计值和频偏估计值.理论分析和仿真结果表明,新训练序列的定时尺度非常尖锐,且不受循环前缀长度的影响;在加性高斯白噪声环境下,定时估计均值和均方误差均为零,实现了精确的定时同步;新频偏估计函数在保持了估计精度的同时扩大了频偏估计范围,且在信噪比较低时,新频偏估计算法仍具有很好的估计性能.
针对正交频分复用系统对同步偏差的敏感性,设计了两种同时具备频偏估计能力的新训练序列,并给出了相应的定时尺度函数和频偏估计函数.利用训练序列的共轭对称性及部分数据的运算符号相反的特性,进行相关运算得到定时估计值和频偏估计值.理论分析和仿真结果表明,新训练序列的定时尺度非常尖锐,且不受循环前缀长度的影响;在加性高斯白噪声环境下,定时估计均值和均方误差均为零,实现了精确的定时同步;新频偏估计函数在保持了估计精度的同时扩大了频偏估计范围,且在信噪比较低时,新频偏估计算法仍具有很好的估计性能.
Author 张爽 冷文 王安国 姬雨初
AuthorAffiliation 天津大学电子信息工程学院,天津300072
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JI Yu-chu
WANG An-guo
ZHANG Shuang
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DocumentTitleAlternate Improved synchronization algorithm for OFDM based on training sequence
DocumentTitle_FL Improved synchronization algorithm for OFDM based on training sequence
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Keywords 循环前缀
正交频分复用
timing synchronization
training sequence
定时同步
cyclic prefix
均方误差
训练序列
orthogonal frequency division multiplexing (OFDM)
frequency offset estimation
频偏估计
mean-square error
Language Chinese
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Notes 51-1196/TP
ZHANG Shuang(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China) LENG Wen(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China) WANG An-guo(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China) JI Yu-chu(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)
orthogonal frequency division multiplexing (OFDM) ; timing synchronization; frequency offset estimation; cyclic prefix; training sequence; mean-square error
This paper designed two new training sequences to overcome the serious influence of synchronization offset on OFDM systems.In addition,this paper presented new timing metric functions and frequency offset estimation functions as well.The two training sequences have the property of conjugate symmetry,and the operation sign of some data is different.Thus,to get the value of timing estimation and frequency offset estimation,the new algorithm could conduct co
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PublicationTitle 计算机应用研究
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SubjectTerms 均方误差
定时同步
循环前缀
正交频分复用
训练序列
频偏估计
Title 基于训练序列的改进OFDM同步算法
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