Title :
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
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;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921197
