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Robust Novel Affine Projection Sign Subband Adaptive Filter Algorithm

  • Qianqian LiuEmail author
  • Haiquan Zhao
Article
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Abstract

This paper presents a novel affine projection sign subband adaptive filter (NAPSSAF) which could achieve better performance than the conventional APSSAF. The proposed NAPSSAF is obtained by solving the optimal problems regarding the l1-norm of the subband a posteriori error vectors rather than overall a posteriori error vector, which fully uses the subband adaptive filter’s inherent decorrelating property. However, since the NAPSSAF algorithm uses the fixed step size, it has an inherent trade-off between low steady-state error and fast convergence rate. Thus, we also propose a combined step size NAPSSAF (CSS-NAPSSAF) to further improve the performance of the NAPSSAF. Finally, simulations are carried out to exhibit the advantages of the NAPSSAF and CSS-NAPSSAF algorithms. The results of simulations demonstrate that the NAPSSAF is superior to the existing algorithms. Besides, the results of simulations also exhibit the improved performance of the CSS-NAPSSAF compared to NAPSSAF.

Keywords

Sign subband adaptive filter Affine projection algorithm Impulsive interference 
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Notes

Acknowledgments

This work was partially supported by National Science Foundation of P.R. China (Grant: 61571374, 61271340 and 61433011).

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Key Laboratory of Magnetic Suspension Technology and Maglev VehicleMinistry of EducationChengduChina
  2. 2.School of Electrical EngineeringSouthwest Jiaotong UniversityChengduChina

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