A variable step-size sign algorithm for channel estimation

Yuan Ping Li*, Ta-Sung Lee, Bing-Fei Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


This paper proposes a new variable step-size sign algorithm (VSSA) for unknown channel estimation or system identification, and applies this algorithm to an environment containing two-component Gaussian mixture observation noise. The step size is adjusted using the gradient-based weighted average of the sign algorithm. The proposed scheme exhibits a fast convergence rate and low misadjustment error, and provides robustness in environments with heavy-tailed impulsive interference.

Original languageEnglish
Pages (from-to)304-312
Number of pages9
JournalSignal Processing
StatePublished - 1 Jan 2014


  • Adaptive filters
  • Channel estimation
  • Impulsive noise
  • Least mean square
  • Sign algorithm
  • System identification


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