Channel Estimation Using Orthogonal Projected Forgetting Factor and LMF 


Vol. 43,  No. 6, pp. 1014-1019, Jun.  2018
10.7840/kics.2018.43.6.1014


PDF Full-Text
  Abstract

The least-mean fourth (LMF) algorithm is well known for its fast convergence and low steady-state error especially in non-Gaussian noise environments. Recently, there has been increasing interest in the LMS (least mean square) algorithms with an adjustable step size. It is because the adjustable step-size LMS algorithms have shown to outperform the conventional fixed step-size LMS in the various situations. In this paper, an adjustable step-size LMF algorithm is proposed, which utilizes an orthogonal projected forgettign factor, and simulation shows the superiority of the proposed algorithm in the time invariant and time variant channels.

  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]

J. Lim, Y. Pyeon, W. Hong, "Channel Estimation Using Orthogonal Projected Forgetting Factor and LMF," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 6, pp. 1014-1019, 2018. DOI: 10.7840/kics.2018.43.6.1014.

[ACM Style]

Jun-Seok Lim, Yong-Guk Pyeon, and Woo-Young Hong. 2018. Channel Estimation Using Orthogonal Projected Forgetting Factor and LMF. The Journal of Korean Institute of Communications and Information Sciences, 43, 6, (2018), 1014-1019. DOI: 10.7840/kics.2018.43.6.1014.

[KICS Style]

Jun-Seok Lim, Yong-Guk Pyeon, Woo-Young Hong, "Channel Estimation Using Orthogonal Projected Forgetting Factor and LMF," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 6, pp. 1014-1019, 6. 2018. (https://doi.org/10.7840/kics.2018.43.6.1014)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880