Title :
Tracking characteristics of an adaptive IIR notch filter for sinusoidal frequency variation
Author :
Mvuma, Aloys ; Nishimura, Shotaro ; Hinamoto, Takao
Author_Institution :
Telecommun. Eng. Dept., Univ. of Dar es Salaam, Dar es Salaam
Abstract :
Tracking behavior of a gradient-based simplified algorithm for an adaptive infinite impulse response (IIR) notch filter with a sinusoidally-varying input signal frequency is presented in this paper. A first-order difference equation with respect to a steady-state instantaneous frequency tracking error is derived. The difference equation is used to derive tracking error and tracking mean square error (MSE) expressions based on the power spectral density (PSD) method. Extensive computer simulations are included to substantiate the analysis and show its limits.
Keywords :
IIR filters; adaptive filters; difference equations; filtering theory; gradient methods; mean square error methods; notch filters; adaptive IIR notch filter; first-order difference equation; gradient-based simplified algorithm; infinite impulse response filter; mean square error; power spectral density method; sinusoidally-varying input signal frequency; steady-state instantaneous frequency tracking error; Adaptive filters; Algorithm design and analysis; Computer errors; Difference equations; Finite impulse response filter; Frequency; IIR filters; Mean square error methods; Radar tracking; Steady-state;
Conference_Titel :
Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-2166-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2008.4616935
