Title :
Modeling the indoor MIMO wireless channel
Author :
Wallace, Jon W. ; Jensen, Michael A.
Author_Institution :
Wireless Res. Group, Brigham Young Univ., Provo, UT, USA
fDate :
5/1/2002 12:00:00 AM
Abstract :
This paper demonstrates the ability of a physically based statistical multipath propagation model to match capacity statistics and pairwise magnitude and phase distributions of measured 4 × 4 and 10 × 10 narrow-band multiple-input multiple-output data (MIMO) at 2.4 GHz. The model is compared to simpler statistical models based on the multivariate complex normal distribution with either complex envelope or power correlation. The comparison is facilitated by computing channel element covariance matrices for fixed sets of multipath statistics. Multipolarization data is used to demonstrate a simple method for modeling dual-polarization arrays
Keywords :
MIMO systems; UHF radio propagation; channel capacity; covariance matrices; electromagnetic wave polarisation; indoor radio; multipath channels; normal distribution; statistical analysis; 2.4 GHz; UHF; angle of arrival; angle of departure; capacity statistics; channel element covariance matrices; dual-polarization arrays; envelope correlation; indoor MIMO wireless channel modeling; magnitude distribution; multipath component; multipolarization data; narrow-band multiple-input multiple-output data; phase distribution; physical model; power correlation; statistical multipath propagation model; statistical multivariate complex normal distribution; time of arrival; Analytical models; Antenna measurements; MIMO; Microwave measurements; Phase measurement; Polarization; Power system modeling; Receiving antennas; Statistical distributions; Transmitting antennas;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2002.1011224
