Title :
A new unbiased equation error algorithm for IIR ADF and its application to ALE
Author :
Okello, J. ; Kinugasa, Y. ; Itoh, Y. ; Fukui, Y. ; Kobayashi, M.
Author_Institution :
Fac. of Eng., Tottori Univ., Japan
Abstract :
A new online algorithm for updating equation error IIR ADF is proposed. The proposed algorithm, which involves maintaining a constant power of the desired signal, 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. Application of the proposed algorithm to an adaptive line enhancer (ALE) is also provided. When compared with the method which uses a cascaded notch filter, we observe a considerable improvement in performance due to the complete elimination of the effect of white noise under mean sense condition
Keywords :
IIR filters; adaptive filters; identification; interference suppression; ALE; IIR ADF; adaptive filter; adaptive line enhancer; online algorithm; performance; unbiased equation error algorithm; Convergence; Educational institutions; Equations; Field-flow fractionation; Finite impulse response filter; Maintenance engineering; Performance analysis; Power engineering and energy; Signal processing algorithms; System identification;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940655
