Information Potential and Blind Algorithms Using a Biased Distribution of Random-Order Symbols 


Vol. 38,  No. 1, pp. 26-32, Jan.  2013


PDF
  Abstract

Blind algorithms based on Information potential of output samples and a set of symbols generated in random order at the receiver go through performance degradation when biased impulsive noise is added to the channel since the cost function composed of information potentials has no variable to deal with biased signal. Aiming at the robustness against biased impulsive noise, we propose, in this paper, a modified information potential, and derived related blind algorithms based on augmented filter structures and a set of random-order symbols. From the simulation results of blind equalization for multipath channels, the blind algorithm based on the proposed information potential produced superior convergence performance in the environments of strong biased impulsive noise.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

N. Kim, "Information Potential and Blind Algorithms Using a Biased Distribution of Random-Order Symbols," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 26-32, 2013. DOI: .

[ACM Style]

Namyong Kim. 2013. Information Potential and Blind Algorithms Using a Biased Distribution of Random-Order Symbols. The Journal of Korean Institute of Communications and Information Sciences, 38, 1, (2013), 26-32. DOI: .

[KICS Style]

Namyong Kim, "Information Potential and Blind Algorithms Using a Biased Distribution of Random-Order Symbols," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 26-32, 1. 2013.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880