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MC-CDMA系统降维盲空时信道估计及信号检测

Dimension-Reduced Blind Space-Time Channel Estimation and Signal Detection for MC-CDMA System
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摘要 该文提出了适用于频率选择性瑞利衰落信道中的MC-CDMA系统降维盲空时信道估计及信号检测算法。对接收数据矢量进行解相关滤波,得到对应于每个用户的无多址干扰(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近似来进行盲信道估计。将白化滤波后的降维数据矢量看作是单用户的系统,研究了迭代最小二乘(ILS)检测和最小均方误差(MMSE)检测。仿真结果验证了该文算法的有效性。 Dimension-reduced blind space-time channel estimation and signal detection algorithm for MultiCarrier CDMA (MC-CDMA) system in frequency selective Rayleigh fading channel are presented. A decorrelating filter is applied to the receiving data vectors. The dimension-reduced signal of each user without Multiuser Access Interference (MAI) is got. Blind channel estimation can be performed by the rank-one approximation of whitened dimension-reduced data matrix. Then, the whitened dimension-reduced data vector as a singIe user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched. Simulation results show the effectiveness of the proposed algorithms.
出处 《电子与信息学报》 EI CSCD 北大核心 2006年第8期1391-1394,共4页 Journal of Electronics & Information Technology
基金 国家教育部优秀青年教师基金 西北工业大学双新人才建设基金资助课题
关键词 多载波码分多址 接收天线分集 信道估计 降维 MC-CDMA, Receive antenna diversity, Channel estimation, Dimension reduction
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参考文献9

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