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基于降维盲信道估计的空时分组码MC-CDMA系统信号检测 被引量:1

Signal detection for space-time block coded MC-CDMA system based on dimension-reduced blind channel estimation
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摘要 研究了空时分组码多载波码分多址(MC-CDMA)系统的信号检测。对接收数据矢量进行解相关滤波,得到对应于每个用户奇数和偶数时间的无多址干扰(MAI)的降维信号,由白化滤波后的降维数据组成的矩阵的秩1近似来得到盲信道估计,再利用用户发射信息符号的有限码集特性来确定复标量模糊。在估计出所有用户的信道响应的基础上,用最小二乘算法进行信号检测。仿真结果验证了所提算法的有效性。 Blind signal detection for a space-time block coded multicarrier CDMA (MC-CDMA) system was considered A decorrelating filter was applied to the receiving data vectors. Dimension-reduced signal of each user's odd and even time without multiuser access interference (MAI) were got. Blind channel estimation could be obtained by the rank-one approximation of whitened dimension-reduced data matrix. The complex scalar ambiguity was solved by exploiting the finite alphabets set of user's transmit information symbol. After estimating the channel response of all users, the least squares algorithm was applied to performing signal detection. Simulation results show the effectiveness of the proposed algorithms.
出处 《通信学报》 EI CSCD 北大核心 2005年第7期33-37,共5页 Journal on Communications
关键词 多载波码分多址 空时码 盲信号检测 信道估计 MC-CDMA space-time coding blind signal detection channel estimation
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参考文献8

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同被引文献16

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