DocumentCode :
3331752
Title :
Complex coefficient adaptive IIR notch filter tracking characteristics
Author :
Mvuma, Aloys ; Nishimura, Shotaro ; Hinamoto, Takao
Author_Institution :
Sch. of Inf., Univ. of Dodoma, Dodoma, Tanzania
fYear :
2009
fDate :
2-5 Aug. 2009
Firstpage :
640
Lastpage :
643
Abstract :
This paper investigates tracking characteristics of a complex-coefficient adaptive infinite-impulse response (IIR) notch filter with a gradient-based algorithm. Two cases are investigated, i.e., linear chirp and randomly-varying frequency input complex signals buried in a complex zero-mean white Gaussian noise. First-order real-coefficient difference equations with respect to steady-state instantaneous frequency tracking error are derived. Closed-form expressions for frequency tracking mean square error (MSE) are derived from the difference equations. In addition, closed-form expressions for optimum notch bandwidth coefficient and step size constant are presented. Computer simulations are included to validate the analyses.
Keywords :
Gaussian noise; IIR filters; adaptive filters; difference equations; gradient methods; mean square error methods; notch filters; tracking filters; white noise; closed-form expression; complex coefficient adaptive IIR notch filter; complex zero-mean white Gaussian noise; first-order real-coefficient difference equations; infinite-impulse response filter; mean square error; steady-state instantaneous frequency tracking error; tracking characteristics; Adaptive filters; Chirp; Closed-form solution; Computer errors; Difference equations; Frequency; Gaussian noise; IIR filters; Mean square error methods; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
Conference_Location :
Cancun
ISSN :
1548-3746
Print_ISBN :
978-1-4244-4479-3
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2009.5236013
Filename :
5236013
Link To Document :
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