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Minimum Probability of Error-Based Equalization Algorithms for Fading Channels

Abstract

Novel channel equalizer algorithms are introduced for wireless communication systems to combat channel distortions resulting from multipath propagation. The novel algorithms are based on newly derived bounds on the probability of error (PE) and guarantee better performance than the traditional zero forcing (ZF) or minimum mean square error (MMSE) algorithms. The new equalization methods require channel state information which is obtained by a fast adaptive channel identification algorithm. As a result, the combined convergence time needed for channel identification and PE minimization still remains smaller than the convergence time of traditional adaptive algorithms, yielding real-time equalization. The performance of the new algorithms is tested by extensive simulations on standard mobile channels.

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Correspondence to Janos Levendovszky.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Levendovszky, J., Kovacs, L. & van der Meulen, E.C. Minimum Probability of Error-Based Equalization Algorithms for Fading Channels. J Wireless Com Network 2007, 014683 (2007). https://doi.org/10.1155/2007/14683

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  • DOI: https://doi.org/10.1155/2007/14683

Keywords

  • Fading Channel
  • Channel State
  • Channel State Information
  • Minimum Mean Square Error
  • Adaptive Algorithm