access icon free Variable step-size sign algorithm against impulsive noises

This paper proposes a new variable step-size sign algorithm through the minimisation of mean-square deviation (MSD). As it is difficult to obtain the MSD accurately, the upper bound of the MSD is derived for calculating the step size at each iteration. The proposed algorithm is not only robust to impulsive noises, but also has improved filter performance in aspects of convergence rate and steady-state estimation error owing to the proposed variable step-size strategy. The simulation results verify that the proposed algorithm has better performance than the existing algorithms in a system-identification scenario in the presence of impulsive noises.

Inspec keywords: impulse noise; adaptive filters

Other keywords: impulsive noises; variable step-size sign algorithm; MSD; convergence rate; system-identification scenario; improved filter performance; mean-square deviation minimization; adaptive filters; step size; steady-state estimation error; upper bound

Subjects: Signal processing theory; Filtering methods in signal processing

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 2. Haykin, S.: ‘Adaptive filter theory’ (Prentice-Hall, 2002, 4th edn.).
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • 1. Sayed, A.H.: ‘Fundamental of adaptive filtering’ (Wiley, 2003).
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 21. Asif Iqbal, M., Grant, S.L.: ‘Novel variable step size NLMS algorithms for echo cancellation’. Acoustics, Speech and Signal Processing (ICASSP), 2008, pp. 241244.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2014.0253
Loading

Related content

content/journals/10.1049/iet-spr.2014.0253
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading