Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Lagged Cross-Correlation of Probability Density Functions and Application to Blind Equalization

  • Kim, Namyong (School of Electronics, Information and Communication Engineering, Kangwon National University) ;
  • Kwon, Ki-Hyeon (School of Electronics, Information and Communication Engineering, Kangwon National University) ;
  • You, Young-Hwan (Dept. of Computer Engineering, Sejong University)
  • Received : 2011.11.16
  • Accepted : 2012.08.12
  • Published : 2012.10.31
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Abstract

In this paper, the lagged cross-correlation of two probability density functions constructed by kernel density estimation is proposed, and by maximizing the proposed function, adaptive filtering algorithms for supervised and unsupervised training are also introduced. From the results of simulation for blind equalization applications in multipath channels with impulsive and slowly varying direct current (DC) bias noise, it is observed that Gaussian kernel of the proposed algorithm cuts out the large errors due to impulsive noise, and the output affected by the DC bias noise can be effectively controlled by the lag ${\tau}$ intrinsically embedded in the proposed function.

Keywords

References

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