Error-entropy based channel state estimation of spatially correlated MIMO-OFDM

This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) channel states in the presence of spatial fading correlations. The optimization criterion is the entropy minimization of the error between the high mul...

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Bibliographic Details
Main Authors: Tuan, H.D., Kha, H.H., Nguyen, H.H.
Format: Conference Proceeding
Language:English
Subjects:
Channel estimation
convex programming
Error-entropy
MIMO
OFDM
Signal to noise ratio
spatial correlation
Symmetric matrices
Training
training sequences
Wireless communication
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Summary:This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) channel states in the presence of spatial fading correlations. The optimization criterion is the entropy minimization of the error between the high multi-dimensional and correlated channel state and its estimator. The globally optimized training sequences are exactly solved by a semi-definite programming (SDP) of tractable computational complexity O((M t (M t + 1)/2) 2.5 ), where M t is the transmit antenna number. With new tight two-sided bounds for the objective function, the optimal value of the generic SDP can be approximately solved by the standard water-filling algorithm. Intensive simulation results are provided to illustrate the performance of our methods.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5947132