Comparison of BER Performance between H_2 and H_∞ DFEs in Fading Environments

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Abstract

In this paper, we discuss the applicability of H_∞ filtering algorithm for a decision feedback equalizer (DEE) in mobile communications environments. A comparison of bit error rate (BER) performance between a H_2 filtering (recursive least squares) algorithm-based and an a priori H_∞ filtering algorithm-based fractionally-tap-spaced DFEs in various fading channels is presented. Against [14], our results are rather pessimistic of the H_∞ equalizer, namely, as compared with the H_2 equalizer, at most the same or a little better BER performance of the H_∞ equalizer is obtained only when the ratio of the average received energy per bit to the white noise power spectral density and the normalized fading rate are large enough, especially in Rician fading channels. Moreover, the H_∞ equalizer has the problems of how to choose an appropriate prescribed positive value and computational complexity, therefore it may not he considered as an attractive alternative to the H_2 equalizer for wireless communications systems.

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Details

  • CRID
    1572261552372626816
  • NII Article ID
    110003219437
  • NII Book ID
    AA10826261
  • ISSN
    09168516
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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