A new approach for joint channel estimation and data detection in MIMO wireless systems

In this paper, we use the cubature Kalman filter (CKF) for joint channel estimation and data detection in multiple-input multiple-output (MIMO) systems subject to fast frequency-selective fading. First, based on a model of the channel coefficients and transmitted symbol dynamic, the problem is formu...

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Published in2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers pp. 615 - 619
Main Authors Machado, Raquel Guerreiro, Meloni, Luis G P, Lopes, Renato R
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Bayesian methods
Channel estimation
Fading
Filters
Frequency estimation
Intersymbol interference
MIMO
Nonlinear equations
Receiving antennas
Transmitting antennas
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Summary:In this paper, we use the cubature Kalman filter (CKF) for joint channel estimation and data detection in multiple-input multiple-output (MIMO) systems subject to fast frequency-selective fading. First, based on a model of the channel coefficients and transmitted symbol dynamic, the problem is formulated in the state-space form, leading to a nonlinear observation equation. Then, the CKF is presented and some changes are proposed to improve the estimation and detection processes in the receiver, and to overcome modeling errors. Finally, through numerical simulations, it is shown that the CKF can be used to track channel variations and detect transmitted symbols with low error rates.
ISBN:1424458250
9781424458257
ISSN:1058-6393
DOI:10.1109/ACSSC.2009.5469910