Title :
Tracking performance of a combination of two NLMS adaptive filters
Author_Institution :
Dept. of Radio & Telecommun. Eng., Tallinn Univ. of Technol., Tallinn, Estonia
Abstract :
This paper studies an affine combination of two NLMS adaptive filters, which is an interesting way of improving the performance of adaptive algorithms. The structure consists of two adaptive filters that adapt on the same input signal, one with a large and the other one with a small step size. Such a combination is capable of achieving fast initial convergence and small steady state error at the same time. In this paper we investigate the tracking performance of the affine combiner algorithm.
Keywords :
adaptive filters; convergence; least mean squares methods; tracking filters; NLMS adaptive filters; adaptive algorithms; affine combination; convergence; small steady state error; tracking performance; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Gaussian noise; Least squares approximation; Noise measurement; Signal processing; Size measurement; Steady-state;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278610
