摘要
提出一种基于空间交换最大期望(SAGE)算法的信道频域辨识方法。该方法能够有效地估计收发联合宽带多输入多输出(MIMO)双向信道的三维离开角、到达角、极化等特征参数。仿真的结果表明:该方法能准确地估计MIMO双向信道的参数,适合MIMO信道建模的需求。
In this paper,the frequency domain space-alternating generalized expectation-maximization（FD-SAGE）algorithm is extended to the joint transmit-receive polarization multiple-input multiple-output（MIMO）case in order to determine the 3-D angular,temporal and polarization channel characteristics in joint transmit-receive radio link.Synthetic environments are generated to testify the efficiency of the proposed algorithm in a severe polarization multi-path indoor scenario.The results reveals that the proposed algorithm demonstrates an effective identification of the joint transmit-receive polarization MIMO channel and have stable performance.
出处
《电波科学学报》
EI
CSCD
北大核心
2012年第1期12-17,209,共7页
Chinese Journal of Radio Science
基金
清华大学传信基金
关键词
MIMO
极化
信道测量
MIMO
polarization
channel measurement
