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  • Research Article
  • Open Access

Minimum Probability of Error-Based Equalization Algorithms for Fading Channels

  • 1Email author,
  • 1 and
  • 2
EURASIP Journal on Wireless Communications and Networking20072007:014683

  • Received: 12 December 2006
  • Accepted: 29 April 2007
  • Published:


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.


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


Authors’ Affiliations

Department of Telecommunications, Budapest University of Technology and Economics, Magyar tudósok körútja 2, Budapest, 1117, Hungary
Department of Mathematics, Katholieke Universiteit Leuven, Celestijnenlaan 200B, Leuven (Heverlee), 3001, Belgium


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© Janos Levendovszky et al. 2007

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