Title :
Modeling time-variant multipath characteristics for MIMO channels
Author :
Chen, Chan ; Jensen, Michael A.
Author_Institution :
Brigham Young Univ., Provo, UT
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;
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
DOI :
10.1109/APS.2008.4619494