摘要
采用信道矩阵的分解、奇异值扩展等方法,从天线上的功率分配与信道的相关性这两个角度分析多输入多输出(MIMO)系统信道的相关性和容量。通过仿真分析,发现不同的天线相关程度和功率分配算法的作用是不同的。注水算法能在一定程度上弥补信道相关性所带来的容量损失。而且,当信噪比增大到一定程度时,注水算法的效果越来越接近平均分配算法。
In this paper,the capacity of MIMO systems is discussed in terms of both power distribution and channel correlation.The channel correlation and capacity are analyzed by using matrix decomposition and singular value spread.It is found via simulation that,power distribution plays different role according to correlation or not,and the degree of correlation.And water-filling algorithm can offset the loss caused by channel correlation.Meanwhile,it is found that the effect of water-filling algorithm is close to average distribution algorithm as the signal to noise ratio(SNR)grows to an extent.
作者
苏孙庆
裴文龙
舒强
蔡宏浩
雷国伟
SU Sunqing;PEI Wenlong;SHU Qiang;CAI Honghao;LEI Guowei(School of Science,Jimei University,Xiamen 361021,China;School of Electronic Engineering,Beijing University of Posts & Telecommunications,Beijing 100876,China)
出处
《集美大学学报（自然科学版）》
CAS
2019年第1期76-80,共5页
Journal of Jimei University：Natural Science
基金
福建省教育厅基金项目(JAT160260)
集美大学李尚大基金项目(ZC2016008)
校教学改革项目(JY17087)
关键词
MIMO
信道容量
注水算法
相关系数
MIMO
channel capacity
water-filling algorithm
correlation coefficient
