| Related citation: | Ji-Liang Zhang,Yang Wang,Li-Qin Ding,Xiao-Min Huang,Nai-Tong Zhang.Eigenvalue Modeling and Cross-Correlation Analysisfor 6.0-6.4 GHz MIMO Channel[J].Journal of Harbin Institute Of Technology(New Series),2013,20(5):1-5.DOI:10.11916/j.issn.1005-9113.2013.05.001. |
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| Author Name | Affiliation | | Ji-Liang Zhang | Shenzhen Graduate School, Harbin Institute of Technology, Guangzhou Shenzhen 518055, China | | Yang Wang | Shenzhen Graduate School, Harbin Institute of Technology, Guangzhou Shenzhen 518055, China | | Li-Qin Ding | Shenzhen Graduate School, Harbin Institute of Technology, Guangzhou Shenzhen 518055, China | | Xiao-Min Huang | Shenzhen Graduate School, Harbin Institute of Technology, Guangzhou Shenzhen 518055, China | | Nai-Tong Zhang | School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China |
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| 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: |
