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Intelligent System for Channel Prediction in the MIMO-OFDM Wireless Communications Using a Multidimensional Recurrent LS-SVM

  • Jerzy Martyna
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8073)

Abstract

In order to resolve channel prediction in the multiple-input multiple-output orthogonal frequency division multiple (MIMO-OFDM) system used in wireless communication, a novel intelligent system based on least squares support vector machines (LS-SVMs) is proposed in this paper. To manipulate the iterative problem, the recurrent multidimensional version LS-SVM has been used. The proposed algorithm used in this system allows us to implement nonlinear decision regions in the channel prediction in MIMO-OFDM systems, and adaptively convergent to minimum mean squared error solutions. It is shown by simulation that the proposed method is able to provide accurate results in channel prediction in these systems. Moreover, this method can be also used in many signal degradations caused by multipath propagation, shadowing from obstacles, etc.

Keywords

wireless channel estimation multidimensional recurrent least-squares support vector machine multiple-input multiple-output (MIMO) channel model OFDM system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jerzy Martyna
    • 1
  1. 1.Institute of Computer Science, Faculty of Mathematics and Computer ScienceJagiellonian UniversityCracowPoland

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