DocumentCode
2770262
Title
Modeling time-variant multipath characteristics for MIMO channels
Author
Chen, Chan ; Jensen, Michael A.
Author_Institution
Brigham Young Univ., Provo, UT
fYear
2008
fDate
5-11 July 2008
Firstpage
1
Lastpage
4
Abstract
This paper has demonstrated the implementation of a time-variant multipath channel model for MIMO applications. The model formulation uses measured channel data to determine the statistical representation of the time-variant multipath cluster characteristics followed by an AR model generation of stochastic realizations of the MIMO channel matrix as a function of time. Comparisons of the information theoretic MIMO performance as a function of time obtained using modeled and measured data show that the model is highly accurate for displacements up to about 10 cm, with the error then growing for larger displacements beyond this 10 cm threshold.
Keywords
MIMO communication; matrix algebra; multipath channels; regression analysis; stochastic processes; time-varying channels; MIMO channel matrix; autoregressive model generation; statistical representation; stochastic realization; time-variant multipath cluster characteristics; Antenna arrays; Bandwidth; Covariance matrix; Frequency estimation; Histograms; MIMO; Multipath channels; Noise measurement; Receiving antennas; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2008. AP-S 2008. IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-2041-4
Electronic_ISBN
978-1-4244-2042-1
Type
conf
DOI
10.1109/APS.2008.4619494
Filename
4619494
Link To Document