Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Blind Signal Processing for Impulsive Noise Channels

  • Kim, Nam-Yong (School of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (School of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • You, Young-Hwan (Department of Computer Engineering, Sejong University) ;
  • Kwon, Ki-Hyeon (School of Electronics, Information & Communication Engineering, Kangwon National University)
  • Received : 2010.10.13
  • Accepted : 2011.05.02
  • Published : 2012.02.28
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Abstract

In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density functionmatching method and a set of Dirac-delta functions. Gaussian kernel of the proposed blind algorithm has the effect of cutting out the outliers on the difference between the desired level values and impulse-infected outputs. And also the proposed algorithm has relatively less sensitivity to channel eigenvalue ratio and has reduced computational complexity compared to the recently introduced correntropy algorithm. According to these characteristics, simulation results show that the proposed blind algorithm produces superior performance in multi-path communication channels corrupted with impulsive noise.

Keywords

References

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