scholarly journals MIMO Channel Correlation in General Scattering Environments

2006 ◽  
Author(s):  
T.A. Lamahewa ◽  
R.A. Kennedy ◽  
T.D. Abhayapala ◽  
T. Betlehem
Keyword(s):  
Mimo Channel ◽  
Channel Correlation

Estimation of MIMO Channel with Imperfect Channel Correlation Information

2017 ◽  
Vol 95 (3) ◽  
pp. 3377-3389 ◽  
Author(s):  
Hyoung-Keon Kim ◽  
Yong-Suk Byun ◽  
Yong-Hwan Lee
Keyword(s):  
Mimo Channel ◽  
Channel Correlation ◽  
Correlation Information

scholarly journals Characteristic Analysis on UAV-MIMO Channel Based on Normalized Correlation Matrix

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Gao Xi jun ◽  
Chen Zi li ◽  
Hu Yong Jiang
Keyword(s):  
Correlation Matrix ◽  
Channel Model ◽  
Three Dimensional ◽  
Matrix Decomposition ◽  
Mimo Channel ◽  
Characteristic Analysis ◽  
Channel Correlation ◽  
Channel Matrix ◽  
Time Frequency ◽  
Model Channel

Based on the three-dimensional GBSBCM (geometrically based double bounce cylinder model) channel model of MIMO for unmanned aerial vehicle (UAV), the simple form of UAV space-time-frequency channel correlation function which includes the LOS, SPE, and DIF components is presented. By the methods of channel matrix decomposition and coefficient normalization, the analytic formula of UAV-MIMO normalized correlation matrix is deduced. This formula can be used directly to analyze the condition number of UAV-MIMO channel matrix, the channel capacity, and other characteristic parameters. The simulation results show that this channel correlation matrix can be applied to describe the changes of UAV-MIMO channel characteristics under different parameter settings comprehensively. This analysis method provides a theoretical basis for improving the transmission performance of UAV-MIMO channel. The development of MIMO technology shows practical application value in the field of UAV communication.

scholarly journals Construction of analytical wireless MIMO channel model based on full correlation matrix approximation

2020 ◽  
pp. 52-61
Author(s):  
Alexander Kalachikov ◽  
◽  
Nikolay Shelkunov ◽  
Keyword(s):  
Covariance Matrix ◽  
Correlation Matrix ◽  
Channel Model ◽  
Channel Modeling ◽  
Mimo Channel ◽  
Matrix Approximation ◽  
Channel Correlation ◽  
Correlation Matrices ◽  
Sample Covariance ◽  
Good Agreement

This paper addresses the experimental wireless MIMO channel modeling and validation based on channel sounding data using the approximation of the full channel correlation matrix. Measurement were carried out in indoor laboratory environment at central frequency 2.3 GHz. An analytical MIMO channel model is presented based on optimal approximation of channel covariance matrix. Approximation of a full channel covariance matrix is based on the optimal Kronecker product series expansion of the sample covariance matrix. The channel correlation matrices calculated from the measured channel coefficients were decomposed using Van Loan and Pitsanis approximation algorithm. Experimental validation of such model is presented. The accuracy of the MIMO channel modeling was evaluated by the correlation matrix distance and by calculating of CDF of channel capacity. The results show that these models have good agreement with the MIMO channel measured data. Also two popular analytical MIMO channel models – Kronecker and Weichselberger models are evaluated and compared with the presented channel model.

scholarly journals On the Importance of the MIMO Channel Correlation in Underground Railway Tunnels

2009 ◽  
Vol 4 (4) ◽  
Author(s):  
Yann Cocheril ◽  
Marion Berbineau ◽  
Piere Combeau ◽  
Yannis Pousset
Keyword(s):  
Mimo Channel ◽  
Channel Correlation ◽  
Underground Railway
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