DocumentCode
3188212
Title
A MIMO parameter estimation model taking Ricean fading channel and stochastically uncorrelated signals into account. Part I. Inherent accuracy limitations
Author
Sieskul, Bamrung Tau ; Jitapunkul, Somchai
Author_Institution
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear
2005
fDate
16-18 May 2005
Firstpage
293
Lastpage
298
Abstract
In this paper, a MIMO channel model accounted for Ricean fading and stochastically uncorrelated signals is proposed for the problem of estimating three important parameters of wireless channel, such as the nominal direction, the angular spread and the Ricean factor. Although such a problem formulation captures so many physical scattering features into a parametric channel model, we elaborate the second-order statistic in such a way that the array covariance matrix depends on five parameters. To inspect the achievable performance of parameter estimation, we derive all necessary derivatives of complex gradient matrix to compute the inherent accuracy limitation based on the Cramer-Rao bound. Herein, the estimation possibility and theoretical analysis are pictorially illustrated and therefore able to reflect various relationships.
Keywords
MIMO systems; Rician channels; antenna arrays; channel estimation; correlation theory; covariance matrices; higher order statistics; parameter estimation; stochastic processes; Cramer-Rao bound; MIMO channel model; Ricean fading; array covariance matrix; multiple input multiple output; parameter estimation; second-order statistic; stochastic uncorrelated signal; wireless channel; Fading; MIMO; Parameter estimation; Parametric statistics; Rayleigh channels; Rayleigh scattering; Scattering parameters; Sensor arrays; Transmitters; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Networks and Services Research Conference, 2005. Proceedings of the 3rd Annual
Print_ISBN
0-7695-2333-1
Type
conf
DOI
10.1109/CNSR.2005.11
Filename
1429983
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