%0 Journal Article
%T Power Allocation of Superimposed Training<br>隐含训练序列信道估计中的功率分配
%A Wang Ping
%A Yuan Wei-na
%A Fan Ping-zhi
%A <br>王平
%A 袁伟娜
%A 范平志
%J 电子与信息学报
%D 2008
%I 
%X Compared with the conventional Time-Division Multiplexed (TDM) channel estimation scheme based on training sequences, the use of implicit training saves valuable bandwidth, where the training sequences are added to information sequences before antenna transmission. However, for a fixed total transmission power, the information power decrease with the increase of the training sequence power, which causes decrease in the Signal to Noise Ratio (SNR) at channel equalizer. In this paper, the relationship between the SNR of the channel equalizer and the training sequences power is analyzed for MIMO system. The optimal power allocation of the training sequence is derived based on the criterion of maximizing SNR of the equalizer. Analysis and simulation results show that the SNR of the channel equalizer is maximized at the optimal training sequence power, and the optimal power of the training sequences is increased with increase of the signal to noise ratio at the received antennas.
%K MIMO
%K Channel estimation
%K Power allocation<br>MIMO
%K 信道估计
%K 功率分配
%K 训练序列
%K 信道估计算法
%K 功率分配
%K Training
%K Allocation
%K 接收天线
%K 功率点
%K 仿真结果
%K 最佳
%K 原则
%K 信道均衡器
%K 关系
%K 分析
%K 系统
%K MIMO
%K 研究
%K 信噪比
%K 总功率
%K 信道带宽
%K 节约
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F9CBA5BDB25DEA17EA640004C2BB4067&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=DF92D298D3FF1E6E&sid=5A9F02B7D2F9BAD8&eid=82A5E8FEB95AD18E&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9