Kernel affine projection sign algorithms for combating impulse interference

Shiyuan Wang, Jiuchao Feng, Chi Kong Tse

Research output: Journal article publicationJournal articleAcademic researchpeer-review

32 Citations (Scopus)


The kernel method has been successfully applied to nonlinear adaptive filtering. This brief presents a kernel affine projection sign algorithm (KAPSA), which is a nonlinear extension of the affine projection sign algorithm (APSA). The proposed KAPSA combines the benefits of the kernel method and the APSA, and is robust against non-Gaussian impulse interference. In order to further improve the filtering performance, a variable step-size adjustment is incorporated into the KAPSA, resulting in a new variable step-size kernel APSA (VSS-KAPSA) without increasing the computational burden. Simulations in the context of time-series prediction show that both the KAPSA and the VSS-KAPSA are robust against impulse interference and that both outperform other affine projection algorithms in terms of steady-state mean square errors.
Original languageEnglish
Article number6621046
Pages (from-to)811-815
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Issue number11
Publication statusPublished - 16 Oct 2013


  • Affine projection sign algorithm (APSA)
  • Computational complexity
  • Impulse interference
  • Kernel
  • Variable step size

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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