首页 | 本学科首页   官方微博 | 高级检索  
     

色噪声下MIMO信道估计优化及容量下限分析
引用本文:景小荣,周正中,贺涛. 色噪声下MIMO信道估计优化及容量下限分析[J]. 电子科技大学学报(社会科学版), 2007, 0(2)
作者姓名:景小荣  周正中  贺涛
作者单位:电子科技大学通信与信息工程学院 成都610054(景小荣,周正中),电子科技大学电子工程学院 成都610054(贺涛)
摘    要:针对色噪声背景下MIMO块平坦衰落信道进行了估计和优化,并以信道估计的优化结果为基础,分析了估计信道的互信息量下限和系统的容量下限,提出了利用注水算法来优化发射端天线阵列的功率分配,以提高系统容量下限。仿真结果表明利用信道估计的优化结果,同时通过发送功率优化分配,可使MIMO系统容量下限有明显提高。

关 键 词:容量下限  MIMO信道估计  功率分配  注水算法

Channel Estimation Optimization and Lower Bound of Capacity Analysis in MIMO System with Colored Noise
JING Xiao-rong,ZHOU Zheng-zhong,HE Tao. Channel Estimation Optimization and Lower Bound of Capacity Analysis in MIMO System with Colored Noise[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2007, 0(2)
Authors:JING Xiao-rong  ZHOU Zheng-zhong  HE Tao
Affiliation:JING Xiao-rong1,ZHOU Zheng-zhong1,HE Tao2
Abstract:The Multi-Input and Multi-Output (MIMO) block flat-fading channel is estimated and optimized with colored noise. The lower bounds of mutual information and system capactiy are analyzed based on the optimization result of estimated channel. The approach to improve the lower bound of system capacity by the optimized power allocation of transmit antennas array through waterpouring algorithm is presented. The simulation result shows that some capacity gain is obtained by transmitter power allocation according to the optimal result of estimated channel.
Keywords:lower bound of capacity  multi-input and multi-output channel estimation  power allocation  waterpouring algorithm
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号