Abstract
In this paper we study tensor based semi-blind estimation algorithms for one-way amplify-and-forward relaying systems. By exploiting the tensor structure of the equivalent channel, a bilinear alternating least squares (ALS) algorithm is proposed to jointly estimate the data and the channels at the destination. Sufficient conditions for the unique estimation are derived. The simulation results show that the proposed algorithms outperforms the state of the art algorithms.
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Zhang, J., Nimr, A., Naskovska, K., Haardt, M. (2015). Enhanced Tensor Based Semi-blind Estimation Algorithm for Relay-Assisted MIMO Systems. In: Vincent, E., Yeredor, A., Koldovský, Z., Tichavský, P. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2015. Lecture Notes in Computer Science(), vol 9237. Springer, Cham. https://doi.org/10.1007/978-3-319-22482-4_8
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DOI: https://doi.org/10.1007/978-3-319-22482-4_8
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