Title :
Gradient-based algorithms for a complex coefficient adaptive IIR notch filter: steady-state analysis and application
Author :
Mvuma, Aloys ; Hinamoto, Takao ; Nishimura, Shotaro
Author_Institution :
Graduate Sch. of Eng., Hiroshima Univ., Japan
Abstract :
In this paper, a method for steady-state analysis of gradient-based algorithms for a complex coefficient adaptive infinite impulse response (IIR) notch filter is presented. Accurate expressions of estimation mean square error (MSE) for variable coefficients are derived by approximating the power spectral densities (PSD) of estimation errors. Suppression of a complex sinusoidal interference in a direct-sequence quadrature phase shift keying (DS QPSK) system using the algorithms is also presented. Computer simulations are presented to support the validity of the analysis.
Keywords :
IIR filters; errors; gradient methods; mean square error methods; notch filters; quadrature phase shift keying; simulation; IIR filter; PSD approximation; adaptive filter; complex coefficient; computer simulation; direct-sequence quadrature phase shift keying; estimation errors; estimation mean square error; gradient-based algorithm; infinite impulse response; notch filter; power spectral densities; sinusoidal interference suppression; steady-state analysis; Adaptive filters; Algorithm design and analysis; Estimation error; Finite impulse response filter; Frequency; IIR filters; Quadrature phase shift keying; Signal processing algorithms; Signal to noise ratio; Steady-state;
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
DOI :
10.1109/MWSCAS.2004.1354081
