Eigenvalue Modeling and Cross-Correlation Analysisfor 6.0-6.4 GHz MIMO Channel
Ji-Liang Zhang1,2, Yang Wang1, Li-Qin Ding1, Xiao-Min Huang 1, Nai-Tong Zhang 2
(1. Shenzhen Graduate School, Harbin Institute of Technology, Guangzhou Shenzhen 518055, China;2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China)
Abstract:
In Multiple-Input Multiple-Output (MIMO) system, the number of positive channel matrix eigenvalues is directly related to system performance. In order to characterize and model channel matrix eigenvalues, channel measurements at 6.0-6.4GHz by using 4×4 MIMO structure were conducted in a typical classroom environment. Based on measured data, the eigenvalues were modeled as Log-Normal distributed random variables and parameterized. Furthermore, Cross-Correlation (CC) coefficients of eigenvalues were estimated. The measurement results show that, under both Light-Of-Sight (LOS) and Non-Light-Of-Sight (NLOS) scenarios, eigenvalues are highly de-correlated so that CC can be ignored for eigenvalue model.
Key words: MIMO channel modeling eigenvalue measurement cross-correlation
DOI：10.11916/j.issn.1005-9113.2013.05.001
Clc Number:TN92
Fund:
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Eigenvalue Modeling and Cross-Correlation Analysisfor 6.0-6.4 GHz MIMO Channel
本站小编 哈尔滨工业大学/2019-10-24
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