Title :
Tracking behavior of an adaptive IIR notch filter for a randomly-varying frequency
Author :
Mvuma, Aloys ; Nishimura, Shotaro ; Hinamoto, Takao
Author_Institution :
Telecommun. Eng. Dept., Univ. of Dar es Salaam, Dar es Salaam
Abstract :
In this paper, tracking characteristics of an adaptive infinite impulse response (IIR) notch filter with a gradient-based simplified adaptation algorithm for an input signal with a randomly-varying frequency is presented. The analysis follows the approach we proposed in recent work where a first-order difference equation with respect to a steady-state instantaneous frequency tracking error is derived. The difference equation is used to derive an expression for the tracking mean square error (MSE) based on the power spectral density (PSD) method. Computer simulations are included to confirm the analysis.
Keywords :
IIR filters; adaptive filters; gradient methods; mean square error methods; notch filters; tracking filters; adaptive IIR notch filter; first-order difference equation; gradient-based simplified adaptation algorithm; infinite impulse response notch filter; mean square error tracking; power spectral density method; randomly-varying frequency; steady-state instantaneous frequency tracking error; tracking behavior; Adaptive filters; Algorithm design and analysis; Computer errors; Computer simulation; Difference equations; Frequency; IIR filters; Mean square error methods; Radar tracking; Steady-state;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697117
