Abstract
Semi-blind channel estimation based on the orthogonal procrustes (OP) algorithm is studied for multiple-input–multiple-output (MIMO) systems with structured orthogonal inputs design. The proposed scheme is based on decomposition of channel matrix H as a whitening matrix R and a unitary rotation matrix Q. A blind estimation scheme for the matrix R based on eigenvalue decomposition (EVD) approach is also proposed along with an efficient OP algorithm for the matrix Q. This results in a substantially improved accuracy of the channel parameterization. Furthermore, by using such optimum rotation matrices, which are parameterized a fewer number of parameters, the proposed method can achieve low computational complexity. Computer simulations are included to validate that the proposed schemes achieve excellent performance, outperforming conventional ML method, and 1-3 dB improvement of mean squared error (MSE) would result if the same length of training sequence is used.
Supported by the key project of Chinese Ministry of Education (No. 106042).
The project sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (2007[24]).
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Hu, F., Li, J., Cai, C. (2012). Semi-blind MIMO Channel Estimation with Orthogonal Inputs,. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31006-5_37
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DOI: https://doi.org/10.1007/978-3-642-31006-5_37
Publisher Name: Springer, Berlin, Heidelberg
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