Title :
Variable Step-Size correlation phase algorithm: Analysis and simulations
Author :
Koike, Shin´ichi
fDate :
Nov. 28 2007-Dec. 1 2007
Abstract :
Based on "phase" of a correlation between error signal and filter reference input, this paper first derives correlation phase algorithm (CPhiA) for adaptive filters in the complex-number domain, and further proposes a simple variable step-size control method to be combined with the CPhiA. The proposed VSS-CPhiA achieves significant improvement in convergence speed of the CPhiA, while preserving its robustness against impulse noise. Through analysis and experiment, we demonstrate effectiveness of the VSS-CPhiA in realizing sufficiently fast-convergent and robust adaptive filters. Good agreement between simulated and theoretical convergence behavior in transient phase and steady state proves the validity of the analysis.
Keywords :
adaptive filters; correlation methods; least mean squares methods; LMS algorithm; complex-number domain; filter reference input; robust adaptive filters; transient phase; variable step-size correlation phase algorithm; Adaptive filters; Additive noise; Algorithm design and analysis; Analytical models; Convergence; Least squares approximation; Noise robustness; Phase noise; Signal processing; Signal processing algorithms;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
DOI :
10.1109/ISPACS.2007.4445926