Abstract
We propose combining supervised and unsupervised algorithms in order to improve the performance of multiple-input multiple-output digital communication systems which make use of decision-feedback equalizers at the receiver. The basic idea is to avoid the periodical transmission of pilot symbols by using a simple criterion to determine the time instants when the performance obtained with an unsupervised algorithm is poor or, equivalently, those instants when pilot symbols must be transmitted. Simulation results show how the novel approach provides an adequate BER with a low overhead produced by the transmission of pilot symbols.
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Pérez-Iglesias, H.J., Dapena, A., Castro, P.M., García-Naya, J.A. (2010). Hybrid Channel Estimation Strategy for MIMO Systems with Decision Feedback Equalizer. In: Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2010. Lecture Notes in Computer Science, vol 6365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15995-4_39
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DOI: https://doi.org/10.1007/978-3-642-15995-4_39
Publisher Name: Springer, Berlin, Heidelberg
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