An improved variable step-size NLMS algorithm based on a Versiera function

Author

Yi Yu ; Haiquan Zhao

Author_Institution

Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China

fYear

2013

fDate

5-8 Aug. 2013

Firstpage

1

Lastpage

4

Abstract

In this paper, an improved variable step-size NLMS algorithm is proposed, which variable step-size scheme is designed by a Versiera function. The update of the step-size is subtly sensitive to the system noise due to employ the system input power and cross-correlation between the input signal and estimated error. Moreover, the proposed algorithm is stable. Simulation results for system identification demonstrate that the proposed algorithm is superior to other existing algorithms in terms of convergence rate, steady-state MSD and tracking ability.

Keywords

correlation methods; least mean squares methods; Versiera function; convergence rate; cross-correlation; estimated error; steady-state MSD; system identification; system noise; tracking ability; variable step-size NLMS algorithm; variable step-size scheme; Algorithm design and analysis; Convergence; Least squares approximations; Noise; Signal processing algorithms; Steady-state; System identification; NLMS; Versiera function; adaptive filter; power estimation; variable step-size;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on

Conference_Location

KunMing

Type

conf

DOI

10.1109/ICSPCC.2013.6663959

Filename

6663959