基于信道矩阵结构划分的用户信号恢复

TN92; 多用户MIMO-OFDM信道的色散效果可以看成是一组由频点(FB)观测值组成的瞬时混叠结构.如果一个新的用户加入时,意味着引入新的干扰,信道矩阵结构被扩大.由于扩大的矩阵含有已知和未知2部分信息,由此需要设计一个针对2部分信息的盲结构.选择盲分离方法,利用信号间存在的相关性,推导出新用户的混叠结构参数矩阵,然后在每个FB上分离出不同用户的信号,由于利用了已知信道的信息,盲分离后产生的不确定性被纠正.计算机仿真验证了所提出算法的有效性....

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Published in通信学报 Vol. 32; no. 12; pp. 146 - 150
Main Authors 郭滨, 白雪梅, F. Mohammed
Format Journal Article
LanguageChinese
Published 长春理工大学电子信息工程学院,吉林长春,130022 2011
Subjects
盲信号分离
二阶统计
MIMO-OFDM系统
信道矩阵划分
Online AccessGet full text
ISSN1000-436X
DOI10.3969/j.issn.1000-436X.2011.12.019

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Abstract TN92; 多用户MIMO-OFDM信道的色散效果可以看成是一组由频点(FB)观测值组成的瞬时混叠结构.如果一个新的用户加入时,意味着引入新的干扰,信道矩阵结构被扩大.由于扩大的矩阵含有已知和未知2部分信息,由此需要设计一个针对2部分信息的盲结构.选择盲分离方法,利用信号间存在的相关性,推导出新用户的混叠结构参数矩阵,然后在每个FB上分离出不同用户的信号,由于利用了已知信道的信息,盲分离后产生的不确定性被纠正.计算机仿真验证了所提出算法的有效性.
AbstractList TN92; 多用户MIMO-OFDM信道的色散效果可以看成是一组由频点(FB)观测值组成的瞬时混叠结构.如果一个新的用户加入时,意味着引入新的干扰,信道矩阵结构被扩大.由于扩大的矩阵含有已知和未知2部分信息,由此需要设计一个针对2部分信息的盲结构.选择盲分离方法,利用信号间存在的相关性,推导出新用户的混叠结构参数矩阵,然后在每个FB上分离出不同用户的信号,由于利用了已知信道的信息,盲分离后产生的不确定性被纠正.计算机仿真验证了所提出算法的有效性.
Author 郭滨
白雪梅
F. Mohammed
AuthorAffiliation 长春理工大学电子信息工程学院,吉林长春,130022
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GUO Bin
F. Mohammed
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二阶统计
MIMO-OFDM系统
信道矩阵划分
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Title 基于信道矩阵结构划分的用户信号恢复
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