DocumentCode :
3629846
Title :
Maximum Likelihood Method for MIMO Mobile-to-Mobile Channel Parameter Estimation
Author :
Alenka G. Zajic;Gordon L. Stuber
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
A three-dimensional reference model for wideband multiple-input multiple-output mobile-to-mobile channels is reviewed. To allow comparison between the proposed model and measured data, a new maximum likelihood based stochastic estimator is derived. The proposed estimator extracts the relevant model parameters from the measured data. The performance of the new estimator is evaluated by deriving the Cramer-Rao lower bound (CRLB) and by comparing the mean square error of the parameter estimates to the CRLB. Simulation results show that the proposed estimator has an asymptotically optimal performance, since it reaches the CRLB for a small number of samples.
Keywords :
"Maximum likelihood estimation","MIMO","Parameter estimation","Stochastic processes","Wideband","Distribution functions","Mean square error methods","Fading","Azimuth","Data mining"
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.761
Filename :
4698536
Link To Document :
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