A robust adaptive filtering algorithm with variable step size

Author

Hua, Ye ; Bo-Xiu, Wu

Author_Institution

Dept. of Radio Eng., South-East Univ., Nanjing, China

fYear

1989

fDate

15-18 Oct 1989

Firstpage

526

Abstract

The authors present a variable-step adaptive filtering algorithm (VS-NLMS) that is robust in the presence of interference. An estimated cross-correlation coefficient between the input reference signal and the error signal is used as the variable step size. Compared with the conventional fixed-step adaptive filtering algorithm (NLMS), the VS-NLMS algorithm can achieve much lower misadjustment noise in the steady state with the same convergence speed and tracking ability. The advantageous properties of the VS-NLMS algorithm are confirmed by computer simulation

Keywords

adaptive filters; correlation methods; interference suppression; computer simulation; conventional fixed-step adaptive filtering algorithm; convergence speed; cross-correlation coefficient; error signal; input reference signal; interference suppression; lower misadjustment noise; tracking ability; variable-step adaptive filtering algorithm; Adaptive filters; Computer simulation; Convergence; Filtering algorithms; Interference; Noise cancellation; Noise robustness; Signal processing algorithms; Steady-state; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1989. MILCOM '89. Conference Record. Bridging the Gap. Interoperability, Survivability, Security., 1989 IEEE

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/MILCOM.1989.103982

Filename

103982