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(fisherinformationmatrix)和CRB(cramerraobound),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.
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.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2005年第2期50-53,共4页
Journal of Beijing University of Posts and Telecommunications
基金
中国自然科学基金项目(69931050)
关键词
盲信道参数估计
参数估计均方误差
CRAMER-RAO界
Communication channels (information theory)
Gaussian noise (electronic)
Mathematical models
Matrix algebra
Signal to noise ratio
