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信道盲参数估计性能分析
引用本文:孙卫军,邹永忠,李道本.信道盲参数估计性能分析[J].北京邮电大学学报,2005,28(2):50-53.
作者姓名:孙卫军  邹永忠  李道本
作者单位:北京邮电大学 信息工程学院, 北京 100876
摘    要:首先推导了复高斯信号模型和确定性信号模型下,复信道参数估计的FIM(fisher information matrix)和CRB(cramer rao bound),进一步研究了当高斯噪声方差未知时复信道参数估计的FIM和CRB。由于盲参数估计的FIM是奇异的,论文分析了在不同约束条件下复信道盲参数估计的CRB,并给出了在确定性信号模型和复高斯信号模型中,不同约束条件下复信道盲参数估计的性能仿真和CRB性能曲线对比。

关 键 词:盲信道参数估计    参数估计均方误差    CramerRao界
文章编号:1007-5321(2005)02-0050-04
修稿时间:2004年4月16日

Blind Channel Estimation Performance Analysis
SUN Wei-jun,ZOU Yong-zhong,LI Dao-ben.Blind Channel Estimation Performance Analysis[J].Journal of Beijing University of Posts and Telecommunications,2005,28(2):50-53.
Authors:SUN Wei-jun  ZOU Yong-zhong  LI Dao-ben
Affiliation:School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:FIM(fisher information matrix) and CRB(cramer rao bound) for complex channel parameters estimation in Gaussian signal model and in deterministic signal model are analyzed separately in this paper. Furthermore, analysis of FIM and CRB for complex channel estimation is implemented when Gaussian noise power is assumed unknown. As for the singularity of FIM for blind channel estimation, CRBs under different constraints are analyzed. In the end, blind channel estimation algorithms are simulated and compared with CRB in deterministic signal model and in Gaussian signal model separately.
Keywords:blind channel estimation  root mean squared error for channel estimation  cramer rao bound
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