Open Access

Minimum Probability of Error-Based Equalization Algorithms for Fading Channels

  • Janos Levendovszky1Email author,
  • Lorant Kovacs1 and
  • Edward C. van der Meulen2
EURASIP Journal on Wireless Communications and Networking20072007:014683

DOI: 10.1155/2007/14683

Received: 12 December 2006

Accepted: 29 April 2007

Published: 12 June 2007

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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Authors’ Affiliations

(1)
Department of Telecommunications, Budapest University of Technology and Economics
(2)
Department of Mathematics, Katholieke Universiteit Leuven

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Copyright

© Janos Levendovszky et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.