摘要
CDMA系统中信道估计的精确度一直是人们所关心的问题。本文在研究了理想维纳滤波器的基础上,给出了这个信道估计均方误差的下界,并从信息论的角度探讨了均方误差与信道参数的熵以及互信息量之间的关系,从而最终得到了信道估计中最大的互信息量。
In recent years, there has been considerable interest in the precise analysis of the channel estimation in CDMA systems. In this paper, the lower bound of mean square error in channel estimation is deduced after analyzing the ideal wiener filter. The relationship among mean square error, entropy and mutual information of the channel estimation is also investigated based on the information theory. Finally, the maximum mutual information is presented.
出处
《电路与系统学报》
CSCD
2004年第3期1-4,共4页
Journal of Circuits and Systems
基金
东大通信技术公司资助
关键词
维纳滤波器
最小均方误差
熵
互信息量
wiener filter
minimum mean square error
entropy
mutual information
