DocumentCode :
1436018
Title :
MIMO channel estimation in correlated fading environments
Author :
Chen, Yen-Chih ; Su, Yu.T.
Author_Institution :
Realtek Inc., Hsinchu, Taiwan
Volume :
9
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
1108
Lastpage :
1119
Abstract :
This paper presents two analytic correlated multiple-input multiple-output (MIMO) block fading channel models and their time-variant extensions that encompass the popular Kronecker model and the more general Weichselberger model as special cases. Both static and time-variant models offer compact representations of spatial- and/or time-correlated channels. When the transmit antenna array is such that the associated MIMO channel has a small angle spread (AS), which occurs quite often in a cellular downlink, our models admit reduced-rank channel representations. They also provide compact channel state information (CSI) descriptions which are needed in feedback systems and in many post channel estimation applications. The latter has the important implication of reduced feedback channel bandwidth requirement and lower post-processing complexity. Based on one of the proposed channel models we present novel iterative algorithms for estimating static and time-variant MIMO channels. The proposed models make it natural to decompose each iteration of our algorithms into two successive stages that are responsible for estimating the correlation coefficients and the signal direction, respectively. Using popular industry-approved standard channel models, we verify through simulations that our algorithms yield good MSE performance which, in many practical cases, is better than that achievable by a conventional least-square estimator. The mean-squared error (MSE) performance of our estimators are analyzed and the resulting predictions are consistent with those estimated by simulations.
Keywords :
MIMO communication; antenna arrays; channel estimation; computational complexity; fading channels; iterative methods; mean square error methods; transmitting antennas; Kronecker model; MIMO channel estimation; MSE performance; Weichselberger model; angle spread; block fading channel models; cellular downlink; channel state information; correlated fading environments; correlation coefficients; feedback channel bandwidth requirement; feedback systems; industry-approved standard channel models; iterative algorithms; least-square estimator; mean squared error performance; multiple-input multiple-output systems; post-processing complexity; reduced-rank channel representations; signal direction; spatial-correlated channel; time-correlated channels; transmit antenna array; Antenna arrays; Bandwidth; Channel estimation; Channel state information; Downlink; Fading; Iterative algorithms; MIMO; State feedback; Transmitting antennas; Channel estimation, space-time signal processing, spatial correlation.;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2010.03.081603
Filename :
5427442
Link To Document :
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