A new unbiased online algorithm for equation error IIR ADF

Author

Okello, James ; Kinugasa, Yasutomo ; Itoh, Y. ; Fukui, Y. ; Kobayashi, M.

Author_Institution

Fac. of Eng., Tottori Univ., Japan

Volume

2

fYear

2001

fDate

6-9 May 2001

Firstpage

821

Abstract

When an infinite impulse response (IIR) adaptive digital filter (ADF) is formulated using equation error formulation that minimizes directly the mean square equation error, the estimated parameters contain a bias if there is a disturbance signal. In this paper, a new online algorithm for updating equation error IIR ADF is proposed. The proposed algorithm is independent of the white disturbance signal, and hence there is no bias in the coefficient´s estimate of the ADF. We also provide the analysis and simulation results which verify this kind of performance. An application of the proposed algorithm to adaptive line enhancer (ALE) is also provided

Keywords

IIR filters; adaptive filters; mean square error methods; adaptive digital filter; adaptive line enhancer; equation error IIR ADF; infinite impulse response; mean square equation error; unbiased online algorithm; white disturbance signal; Convergence; Digital filters; Educational institutions; Equations; Field-flow fractionation; Finite impulse response filter; IIR filters; Parameter estimation; Signal processing algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921197

Filename

921197